Contribution and performance of ChatGPT and other Large Language Models (LLM) for scientific and research advancements: a double-edged sword

e-ISSN: 2582-5208
International Research Journal of Modernization in Engineering Technology and Science
( Peer-Reviewed, Open Access, Fully Refereed International Journal )
Volume:05/Issue:10/October-2023 Impact Factor- 7.868 www.irjmets.com
www.irjmets.com @International Research Journal of Modernization in Engineering, Technology and Science
[875]
Contribution and performance of ChatGPT and other Large Language
Models (LLM) for scientific and research advancements: a
double-edged sword
Nitin Liladhar Rane*1, Abhijeet Tawde*2, Saurabh P. Choudhary*3, Jayesh Rane*4
*1,2,3Vivekanand Education Society's College Of Architecture (VESCOA), Mumbai, India.
*4Pillai HOC College Of Engineering & Technology, Rasayani, Panvel, India.
DOI : https://www.doi.org/10.56726/IRJMETS45312
ABSTRACT
This study focuses on evaluating the performance and potential contributions of ChatGPT, a generative artificial
intelligence model, to the advancement of scientific and research fields, including public health, climate change,
computer programming, education etc. The research commences by examining the role of ChatGPT in scientific
publishing, demonstrating how it can streamline the creation of research content, thereby enhancing the
accessibility and dissemination of scientific knowledge. In the context of public health and medical writing, the
study investigates how ChatGPT can transform healthcare by assisting professionals and researchers in
generating accurate and informative documents, thereby contributing significantly to the widespread
dissemination of critical health information and advancements. In the fight against climate change and global
warming, ChatGPT emerges as a promising tool for addressing challenges related to data analysis, prediction
modeling, and communication. The research explores how ChatGPT can support climate scientists and
policymakers in synthesizing intricate data, creating effective communication materials, and mobilizing public
awareness and action. Furthermore, the study assesses ChatGPT's contributions to the field of computer
programming, where it can aid developers in debugging programming errors. Its ability to comprehend and
generate code snippets streamlines problem-solving, thereby boosting software development efficiency and
code quality. The research extends its examination to ChatGPT's performance across various domains,
including public health, climate change, computer programming, and education. Additionally, the study delves
into the opportunities and challenges associated with integrating large language models like ChatGPT into
education. It investigates how ChatGPT can enhance the learning experience, automate administrative tasks,
and deliver personalized educational content. Simultaneously, it addresses concerns related to bias, ethics, and
data privacy. This research underscores the significant potential of ChatGPT in advancing scientific and
research endeavors across multiple domains. It emphasizes the importance of responsible and ethical
utilization of AI models like ChatGPT, recognizing the opportunities they offer to expedite progress and address
critical global challenges, all while remaining vigilant about ethical and societal implications.
Keywords: Chatgpt, Generative Artificial Intelligence, Public Health, Climate Change, Programming Bugs,
Education.
I. INTRODUCTION
The emergence of large language models, exemplified by ChatGPT, marks a significant turning point across a
wide range of disciplines [1-4]. These advanced AI systems, capable of generating human-like text based on
input cues, have transcended traditional boundaries, reshaping the landscape of research and innovation. While
they hold immense potential across diverse fields, from medicine and computer science to social sciences,
engineering, mathematics, business, management, accounting, biochemistry, genetics, molecular biology, and
nursing, their deployment also brings forth a complex set of challenges. This duality characterizes these AI
models as a double-edged sword, poised to revolutionize scientific and research advancements while posing
potential drawbacks [5,6]. This research paper embarks on a comprehensive exploration of the multifaceted
contributions of ChatGPT and similar large language models to scientific and research progress across this
diverse spectrum of disciplines. We delve into the profound impact of ChatGPT, investigating its capacity to
shape the future of public health and medical communication, its potential to address the formidable challenges
posed by climate change and global warming, its pivotal role in advancing computer programming, and its
relevance in the domains of education, medicine, computer science, social sciences, engineering, mathematics,

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business, management, accounting, biochemistry, genetics, molecular biology, and nursing. Additionally, we
meticulously examined ChatGPT's performance within these domains, shedding light on its capabilities,
limitations, and the opportunities it unfolds for research, practice, and policy-making.
The evolution of ChatGPT has rippled through the landscape of scientific publishing, initiating a paradigm shift
in the dissemination and communication of scientific knowledge. Traditional methodologies, characterized by
protracted publication timelines and rigorous peer review processes, have encountered a formidable
challenger in AI-driven systems like ChatGPT. These systems stand ready to assist researchers and authors in
drafting, editing, and generating content, thereby catalyzing the publication process and hastening the
accessibility of research findings [7-9]. The domains of public health and medical writing bear witness to a sea
change, courtesy of ChatGPT. Its capability to generate precise, coherent, and accessible medical content holds
the potential to revolutionize patient education, healthcare communication, and knowledge dissemination
within the medical fraternity. Nonetheless, concerns pertaining to the quality and accuracy of AI-generated
medical information loom large. The specter of climate change and global warming looms large over humanity,
demanding innovative solutions and collective action [10]. In this arena, ChatGPT assumes a critical role,
offering invaluable support in data analysis, modeling, and scenario planning. It aids researchers and
policymakers in devising effective strategies for climate change mitigation and adaptation. However, ethical
considerations surrounding data privacy, biases, and the accuracy of AI-driven climate solutions stand as
formidable challenges [11-13]. Figure 1 shows the co-occurrence analysis of the keywords.
Figure 1: Co-occurrence analysis of the keywords
The world of computer programming, characterized by its relentless pursuit of efficiency and innovation, has
found in ChatGPT. Developers, coders, and software engineers are now equipped with a tool that can provide
code snippets, offer debugging assistance, and present solutions to intricate coding challenges [2]. This
accelerates software development, lowering the barriers to entry for aspiring programmers. Nevertheless, the
integrity and security of the code generated by AI models like ChatGPT warrant unwavering scrutiny. One of
the noteworthy applications of ChatGPT in computer programming is its utility in debugging. Debugging, an

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indispensable but often time-consuming facet of software development, benefits significantly from ChatGPT's
ability to analyze code, pinpoint errors, and propose solutions. However, the utilization of AI for debugging
demands a rigorous regimen of testing and validation to ensure the reliability and robustness of the solutions
provided.
The realm of public health research benefits from ChatGPT's aptitude for synthesizing vast volumes of medical
literature and distilling insights from complex datasets [14,15]. Nevertheless, the precision of AI-generated
insights necessitates validation by domain experts to safeguard accuracy and reliability. ChatGPT's efficacy in
addressing climate change hinges on its ability to process environmental data, construct precise climate
models, and offer actionable recommendations. Performance evaluation hinges on the accuracy of climate
models generated, the relevance of proposed solutions, and alignment with established climate science.
Moreover, the ethical dimensions of AI's role in climate change decision-making require thorough
consideration. In the realm of computer programming, the assessment of ChatGPT's performance encompasses
code quality metrics, debugging efficiency, and the ease with which developers can seamlessly integrate AI-
generated code into their projects. Ensuring the security and reliability of AI-generated code remains
paramount. Education, a foundational pillar of societal progress, stands to be significantly impacted by
ChatGPT. Its support for personalized learning, content generation, and student assistance is poised to reshape
educational paradigms. The evaluation of ChatGPT's influence in education necessitates an examination of its
adaptability, the quality of educational materials produced, and its implications for educational outcomes.
Ethical considerations, encompassing data privacy and content bias, demand vigilant attention. The dynamic
domains of medicine, computer science, social sciences, engineering, mathematics, business, management,
accounting, biochemistry, genetics, molecular biology, and nursing each hold unique challenges and
opportunities for ChatGPT. The assessment of ChatGPT's performance in these domains requires a nuanced
understanding of the intricacies, ethical considerations, and impact on research and practice. Figure 2. shows
the co-authorship analysis of the subject area.
Figure 2. Co-authorship analysis of the subject area
Beyond individual applications, the exploration of generative conversational AI models, including ChatGPT,
unveils possibilities for innovative research methodologies, transformative practices, and informed
policymaking. The potential of AI-driven conversations to shape research agendas, facilitate interdisciplinary
collaboration, and inform evidence-based policies is a dimension of AI's impact that merits thorough
exploration. While education reaps the rewards of large language models, the associated challenges necessitate

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a delicate balance. Ethical concerns surrounding data privacy, equity, the role of human educators, and the
responsible integration of AI within learning environments must be addressed to ensure equitable and effective
educational paradigms.
The ascent of ChatGPT and analogous large language models has ushered in a new epoch with the potential to
profoundly influence a vast and interconnected expanse of academic disciplines. From medicine to computer
science, social sciences, engineering, mathematics, business, management, accounting, biochemistry, genetics,
molecular biology, and nursing, the promise of heightened efficiency, accessibility, and innovation coexists with
concerns about accuracy, bias, and ethical considerations. This research paper aspires to furnish a
comprehensive understanding of the contributions and performance of ChatGPT across these multifaceted and
interwoven areas, thereby illuminating the opportunities and challenges presented by generative artificial
intelligence in the pursuit of scientific and research advancements.
II. CONTRIBUTION OF CHATGPT IN PUBLIC HEALTH AND MEDICINE FIELD
ChatGPT is set to have a significant impact on the future of public health and medical writing [16-18]. It offers
the potential to revolutionize content creation, streamline research, improve patient education, and enhance
healthcare delivery. In content creation, ChatGPT's ability to efficiently generate high-quality drafts can greatly
benefit medical professionals and writers. It saves time and effort by quickly producing articles, reports, and
patient education materials [3,4]. In the realm of research, ChatGPT can assist in conducting comprehensive
literature reviews by summarizing and synthesizing vast amounts of medical literature. This makes it easier for
researchers to stay updated on the latest findings and integrate them into their work. Moreover, AI-powered
chatbots, driven by ChatGPT, can bridge the gap between healthcare professionals and patients. These chatbots
can provide accurate and easily understandable medical information, improving health literacy and patient
outcomes in a digitally driven healthcare landscape [19-20]. ChatGPT's language translation capabilities can
facilitate global collaboration in healthcare by breaking down language barriers. It enables the sharing of
medical knowledge across linguistic divides, promoting international cooperation. In the field of telemedicine,
virtual health assistants powered by ChatGPT can triage patient symptoms, provide basic medical advice, and
schedule appointments with healthcare providers. This extends healthcare services to remote and underserved
populations. Additionally, ChatGPT can support data analysis, helping researchers identify patterns and
generate hypotheses from large medical datasets, advancing epidemiological and clinical research [17].
Medical documentation and record-keeping can also benefit from ChatGPT, as it aids in generating accurate and
detailed medical records, reducing the administrative burden on healthcare professionals. As AI continues to
evolve, ChatGPT can provide personalized healthcare experiences by analyzing user data to deliver tailored
health information and recommendations, such as personalized diet and exercise plans. Furthermore, in
medical training and education, AI-powered virtual tutors and educational platforms can leverage ChatGPT to
explain complex medical concepts in an understandable manner, transforming medical education and training
programs. However, the integration of AI in healthcare comes with challenges and ethical considerations,
including data privacy concerns, biases in AI-generated content, and the need for regulatory oversight to
ensure the accuracy and safety of AI-provided medical information [21,22]. Therefore, a balanced approach
that prioritizes ethical and regulatory standards is crucial to fully realize the potential of ChatGPT and similar
AI language models in the healthcare field.
Role of ChatGPT in Healthcare Diagnosis and Decision Support:
AI, including models like ChatGPT, holds great promise in healthcare, particularly in the realms of medical
diagnosis and decision support. These models offer substantial benefits: AI, such as ChatGPT, has the potential
to revolutionize medical diagnosis and decision-making [16]. These AI models function as vast repositories of
medical knowledge, providing healthcare professionals with quick access to information on symptoms,
diseases, treatment options, and drug interactions. This instant access to a wealth of information significantly
enhances the decision-making process in healthcare. Furthermore, AI can offer clinical decision support by
analyzing patient data, medical literature, and clinical guidelines. For instance, it can suggest appropriate
diagnostic tests or treatment plans based on a patient's symptoms and medical history. This capability enables
healthcare providers to make more informed and evidence-based decisions, ultimately resulting in improved
patient outcomes. Additionally, AI can play a vital role in reducing diagnostic errors, a significant concern in

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healthcare. By cross-referencing patient data with an extensive database of medical knowledge, AI can identify
potential diagnoses that may be overlooked by human practitioners. This not only enhances diagnostic
accuracy but also enhances patient safety by minimizing the risk of misdiagnosis.
Role of ChatGPT in Enhancing Patient Education and Engagement:
Effective communication between healthcare providers and patients is essential for successful treatment
outcomes. ChatGPT can significantly contribute to patient education and engagement: AI models like ChatGPT
excel at conveying clear and understandable information to patients [16]. They can explain complex medical
conditions and treatment plans in plain language, making it easier for patients to grasp their health issues. This
enhanced clarity fosters a deeper understanding of their conditions and the importance of adhering to
prescribed treatments. Furthermore, AI models are available round the clock, providing patients with 24/7
access to valuable information and guidance. Patients can ask questions and seek clarification at their
convenience, reducing the burden on healthcare professionals and ensuring timely responses to their queries.
This accessibility enhances patient engagement and empowers individuals to take an active role in managing
their health. Moreover, AI-driven virtual assistants can offer personalized health information tailored to each
patient's specific needs and preferences. This individualized approach not only promotes better patient
engagement but also contributes to more effective healthcare interventions and improved health outcomes.
Role of ChatGPT in Telemedicine and Remote Healthcare:
The rise of telemedicine and remote healthcare has been significantly accelerated by AI, and ChatGPT can play a
pivotal role in facilitating these remote healthcare services: In telemedicine, ChatGPT can serve as a virtual
assistant, enabling healthcare providers to seamlessly conduct remote consultations. These virtual assistants
can assist in appointment scheduling, collecting patient information, and facilitating communication between
patients and healthcare professionals. This streamlines the telemedicine process, making it more efficient and
convenient for both patients and providers. Additionally, ChatGPT-powered virtual assistants can answer
patient questions and provide follow-up care instructions after telemedicine appointments. They can offer
guidance on medication management, symptom monitoring, and lifestyle modifications, ensuring that patients
receive comprehensive care even when physically distant from their healthcare providers. Moreover, AI models
can assist in remote monitoring of patients with chronic conditions. They can analyze patient-generated health
data, such as wearable device metrics, and provide real-time feedback and recommendations. This continuous
monitoring helps identify potential issues early and enables timely interventions, reducing hospital
readmissions and improving overall patient outcomes.
Role of ChatGPT in Epidemiology and Disease Surveillance:
Epidemiology and disease surveillance are critical components of public health, and AI models like ChatGPT can
enhance these efforts in several ways: AI models can analyze and interpret data from various sources, including
social media, news reports, and healthcare databases, to identify potential disease outbreaks or track the
spread of diseases in real-time. These models can detect early warning signs by monitoring trends in
symptoms, geographic locations, and demographic information. This early detection is crucial for implementing
timely public health interventions to contain the spread of diseases. Furthermore, AI can assist epidemiologists
and public health officials in modeling disease transmission and predicting future outbreaks. By analyzing
historical data and considering various factors, such as population density and travel patterns, AI models can
generate forecasts and scenarios to guide decision-making. This proactive approach allows for the allocation of
resources and the development of targeted interventions to mitigate the impact of infectious diseases.
Additionally, AI can automate the process of contact tracing, which is essential for identifying individuals who
may have been exposed to infectious diseases. ChatGPT-powered chatbots can engage with individuals, collect
information about their contacts and potential exposure, and provide guidance on quarantine measures and
testing. This automation accelerates the contact tracing process and helps public health agencies contain
outbreaks more effectively.
Role of ChatGPT in Drug Discovery and Development:
AI models have the potential to revolutionize the drug discovery and development process, significantly
accelerating the identification of new drugs and the optimization of existing ones: In the field of drug discovery,
AI models can analyze vast datasets, including genomic data, chemical structures, and biological pathways, to

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identify potential drug candidates. These models can predict the binding affinity of molecules to specific
targets, helping researchers narrow down the pool of potential drug candidates for further investigation. This
accelerates the initial stages of drug discovery, which traditionally involve laborious and time-consuming
experimental screening. Moreover, AI can assist in drug repurposing, a process that identifies existing drugs
with the potential to treat new medical conditions [23,24]. ChatGPT can analyze medical literature and clinical
trial data to uncover connections between drugs and diseases that were previously unrecognized. This
approach can lead to the rapid development of treatments for emerging health threats, such as viral outbreaks.
Additionally, AI models can simulate the effects of drugs on biological systems, allowing researchers to predict
their efficacy and potential side effects. These simulations provide valuable insights into drug safety and
efficacy, reducing the time and resources required for preclinical and clinical trials. Advance simulations are
important for desion making [25-29]. This not only expedites the drug development process but also lowers the
overall cost of bringing new treatments to market.
Role of ChatGPT in Public Health Communication:
Effective communication is crucial in public health, especially during public health crises. ChatGPT can serve as
a valuable tool for disseminating accurate health information to the public [30-32]: During public health
emergencies, such as the COVID-19 pandemic, AI-powered chatbots and virtual assistants can answer
frequently asked questions and provide up-to-date information on the status of the outbreak. They can offer
guidance on preventive measures, vaccination schedules, and testing locations, helping individuals make
informed decisions to protect their health. Furthermore, AI models can assist in debunking misinformation and
addressing common misconceptions related to public health issues. They can provide evidence-based
responses to rumors and false claims, helping to maintain public trust in official health guidelines and
recommendations. Moreover, AI-driven chatbots can facilitate communication between public health
authorities and the public, enabling individuals to report symptoms, exposure incidents, and vaccination status.
This data collection can support contact tracing efforts and provide valuable insights into the spread of
infectious diseases.
Role of ChatGPT in Mental Health Support:
The field of mental health can benefit significantly from AI-driven support and intervention. ChatGPT and
similar AI models can provide immediate support to individuals experiencing mental health challenges [33,34].
These virtual mental health assistants can offer coping strategies, relaxation techniques, and information about
mental health disorders. They can engage in empathetic conversations, helping individuals feel heard and
understood, which is particularly important in addressing mental health stigma. Moreover, AI can help
individuals track their mental health over time by analyzing text-based conversations and identifying changes
in mood and sentiment. This longitudinal data can be shared with mental health professionals to assist in
treatment planning and monitoring. Additionally, AI can assist in suicide prevention by monitoring social media
posts and online forums for signs of distress. If concerning content is identified, AI-powered systems can alert
crisis helplines and authorities to intervene and provide support to individuals in crisis [33]. ChatGPT has
significantly advanced the field of mental health research by serving as a versatile and accessible tool for
studying various aspects of mental well-being. Its primary contribution lies in its capacity to engage in natural
language conversations with users, enabling researchers to gather valuable data on individuals' mental health
experiences, including their thoughts, emotions, and behaviors. This non-invasive and user-friendly approach
facilitates large-scale data collection and analysis in the realm of mental health. Another notable contribution of
ChatGPT is its role in the development of virtual mental health support systems. By using ChatGPT as a
foundation, researchers and developers have created chatbots and virtual assistants that can offer immediate
emotional support and psychoeducation to individuals facing mental health challenges. These virtual
companions provide valuable resources, coping strategies, and a non-judgmental presence, potentially
addressing gaps in access to mental health care, particularly in underserved communities or during crises.
ChatGPT's language capabilities also make it a valuable tool for sentiment analysis and emotion detection.
Researchers can leverage ChatGPT to analyze large volumes of textual data, such as social media posts or online
forum discussions, to gain insights into the collective mental health of populations. This data-driven approach
aids in identifying trends, patterns, and emerging mental health issues, which can inform targeted
interventions and public health initiatives. Furthermore, ChatGPT can support mental health professionals in

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various ways. It can serve as a training and simulation tool, enabling therapists and counselors to practice and
refine their skills in a controlled environment. This practice enhances their ability to provide effective care to
their clients. Additionally, ChatGPT can assist in creating personalized therapeutic interventions by generating
tailored content based on individual preferences and needs, thereby improving the efficacy of mental health
treatments. However, it is essential to acknowledge the ethical considerations and potential limitations
associated with using ChatGPT in mental health research. Privacy, data security, and responsible AI usage are
paramount concerns, given the sensitive nature of mental health data. Additionally, the limitations of ChatGPT
in understanding context, emotions, and cultural nuances should be taken into account when applying it in a
mental health context. ChatGPT has made significant contributions to mental health research by providing a
versatile and accessible platform for data collection, virtual support, sentiment analysis, and therapeutic
assistance. While it holds the potential to enhance our understanding of mental health and improve mental
health care delivery, its responsible and ethical usage is essential to safeguard the privacy and well-being of
individuals involved in research and seeking support.
Role of ChatGPT in Medical Research and Literature Review:
AI models like ChatGPT can significantly streamline medical research and literature review processes:
Researchers and healthcare professionals often need to stay up-to-date with the latest advancements in their
fields, which involves reviewing a vast amount of scientific literature. AI can assist in this by summarizing
research papers, identifying key findings, and highlighting relevant studies. This saves researchers valuable
time and ensures that they remain informed about the most recent developments. Moreover, AI can help
researchers discover hidden connections and patterns in large datasets. By analyzing vast volumes of research
articles and clinical data, AI can identify trends, correlations, and potential research directions that might not
be apparent through traditional literature review methods. Additionally, AI models can assist in the systematic
review process, which is critical for evidence-based medicine. They can automate the identification of relevant
studies, data extraction, and synthesis of findings, making the systematic review process more efficient and
reducing the risk of bias in the selection of studies.
Role of ChatGPT in Healthcare Administration and Operations:
AI models can optimize healthcare administration and operations in various ways: AI-driven predictive
analytics can forecast patient admission rates, helping hospitals and healthcare facilities allocate resources
effectively. By analyzing historical admission data, patient demographics, and seasonal trends, AI can assist in
staffing decisions, bed management, and resource allocation, ensuring that healthcare organizations can
provide timely and efficient care. Moreover, AI can streamline administrative tasks such as appointment
scheduling, billing, and insurance claims processing. Virtual assistants powered by AI can handle routine
administrative inquiries from patients, reducing the workload on administrative staff and improving the overall
patient experience. Additionally, AI can enhance supply chain management in healthcare by predicting the
demand for medical supplies and pharmaceuticals. This proactive approach ensures that healthcare facilities
have an adequate stock of essential supplies, reducing the risk of shortages during times of high demand or
emergencies.
Role of ChatGPT in Personalized Medicine:
AI models can play a pivotal role in advancing personalized medicine, tailoring treatment plans and
recommendations to individual patients: AI can analyze vast amounts of patient data, including genetic
information, electronic health records, and lifestyle factors, to create personalized treatment plans. By
considering a patient's unique genetic makeup and medical history, AI can suggest treatments that are more
likely to be effective and have fewer side effects. Furthermore, AI can assist in the identification of patient
subpopulations that may respond differently to specific treatments. This enables healthcare providers to make
informed decisions about treatment selection and dosage adjustments based on individual patient
characteristics. Additionally, AI models can monitor patient responses to treatment over time, adjusting
recommendations as needed. This iterative approach to personalized medicine ensures that treatment plans
remain effective and aligned with each patient's evolving health status.

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Role of ChatGPT in Healthcare Accessibility:
AI models, particularly chatbots and virtual assistants, can help improve healthcare accessibility, especially in
underserved or remote areas: In regions with limited access to healthcare facilities, AI-powered chatbots can
provide basic healthcare information and guidance. These virtual assistants can answer common health-related
questions, offer advice on symptom management, and recommend when individuals should seek in-person
medical care. This helps bridge the gap in healthcare accessibility and provides valuable support to
communities with limited healthcare resources. Moreover, AI-driven telemedicine solutions can connect
patients in remote areas with healthcare providers, enabling remote consultations and diagnostic services. This
extends the reach of healthcare services to underserved populations, improving their access to timely medical
care. Additionally, AI can assist in language translation and cultural sensitivity, ensuring that healthcare
information and guidance are accessible to diverse populations. This is particularly important in addressing
healthcare disparities and promoting equitable access to care.
Role of ChatGPT in Medical Training and Education:
AI models can enhance medical training and education for both aspiring healthcare professionals and
practicing clinicians: For medical students, AI-powered virtual tutors can provide explanations, quizzes, and
interactive learning experiences. These AI-driven educational tools can adapt to individual learning styles and
paces, helping students grasp complex medical concepts more effectively. Furthermore, AI models can simulate
patient cases, allowing medical students to practice clinical decision-making and diagnostics in a safe and
controlled environment. These simulations provide valuable hands-on experience, improving students' clinical
skills and readiness for real patient care. Additionally, AI can assist in continuing medical education for
healthcare professionals. AI-powered chatbots can offer ongoing training, provide updates on medical
guidelines, and deliver case studies to help doctors and nurses stay current with the latest advancements in
their fields.
Role of ChatGPT in Ethical and Legal Considerations:
As AI plays an increasingly prominent role in healthcare, addressing ethical and legal considerations is
paramount: AI models must adhere to strict standards of data privacy and security. Patient health data is highly
sensitive, and robust measures must be in place to protect it from unauthorized access and breaches.
Compliance with regulations such as the Health Insurance Portability and Accountability Act (HIPAA) is
essential to safeguard patient privacy. Transparency and accountability are crucial in AI-driven healthcare
applications. Healthcare providers and AI developers must be transparent about the use of AI in diagnosis,
treatment, and decision-making. Patients have the right to understand how AI is influencing their care and to
have human oversight in critical healthcare decisions. Bias and fairness are significant concerns in AI
algorithms, especially in healthcare where decisions can have life-altering consequences. Efforts must be made
to identify and mitigate biases in AI models to ensure that they do not disproportionately impact certain patient
populations. Informed consent is a fundamental ethical principle in healthcare. Patients must be informed
about the use of AI in their care and should have the option to decline AI-driven interventions or request
human involvement in their healthcare decisions. AI models like ChatGPT have the potential to make
substantial contributions across various subfields in public health and medicine. These models can enhance
medical diagnosis, improve patient education and engagement, support telemedicine and remote healthcare,
aid in epidemiology and disease surveillance, expedite drug discovery and development, facilitate public health
communication, provide mental health support, streamline medical research, optimize healthcare
administration, advance personalized medicine, improve healthcare accessibility, enhance medical training and
education, and address ethical and legal considerations. While the potential benefits are significant, ongoing
research, regulation, and ethical considerations are essential to ensure that AI-driven healthcare applications
are safe, effective, and equitable for all individuals.
Contribution of ChatGPT in Infectious Diseases
ChatGPT has significantly contributed to the field of infectious diseases by serving as a valuable tool for various
purposes [35]. It plays a pivotal role in disseminating essential information to the public, assisting healthcare
professionals and researchers, facilitating global communication, aiding in diagnostic tool development, and
combating misinformation [36]. One of ChatGPT's key contributions is its ability to disseminate critical

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information about infectious diseases to the public. During outbreaks or health crises, it can generate clear and
concise content that educates individuals about the disease, its symptoms, preventive measures, and available
treatments. This helps raise awareness and enhances public health by delivering accurate and easily accessible
information. Moreover, ChatGPT supports healthcare professionals and researchers by providing access to a
vast knowledge base. It aids in tasks such as literature reviews, summarizing recent research findings, and
offering insights into emerging infectious diseases. This efficient information retrieval allows healthcare
workers and researchers to save time, enabling them to focus on essential activities like patient care and
scientific investigations. Furthermore, ChatGPT fosters global communication among healthcare professionals
and experts. It can assist in translating medical information into multiple languages, making vital updates and
guidelines accessible to a wider audience, especially in regions with language barriers. This promotes the rapid
dissemination of crucial information during outbreaks and health emergencies.
In addition, AI like program contributes to the development of tools and algorithms [37-41]. Its capacity to
process and analyze extensive datasets aids in identifying patterns, predicting outbreaks, and assisting in early
disease detection. This advances epidemiological research and enhances surveillance capabilities. Lastly,
ChatGPT helps counter misinformation and misconceptions related to infectious diseases. By offering evidence-
based responses to questions and debunking false claims, it plays a critical role in promoting accurate
information and mitigating the spread of rumors and misinformation during disease outbreaks. ChatGPT's
contributions to the field of infectious diseases encompass information dissemination, research support, global
communication, diagnostic tool development, and misinformation mitigation. Its versatility and accessibility
make it an invaluable resource for healthcare professionals, researchers, and the general public in the ongoing
battle against infectious diseases [42-43]. Table 1 shows the Role of ChatGPT in Infectious Diseases
Table 1: Role of ChatGPT in Infectious Diseases
Sr.
No.
Contribution
Field of
Infectious
Diseases
Description Benefits
Challenges and
Considerations
1
Information
Access
Epidemiology
and Pathology
ChatGPT provides a rapid
avenue for accessing
current information
regarding infectious
diseases, encompassing
details such as symptoms,
transmission dynamics,
preventive measures, and
treatment protocols.
It facilitates
convenient
information
retrieval for
healthcare
professionals and
the general
populace.
Challenges include
ensuring the
accuracy of
information
sources and
mitigating the risk
of misinformation
dissemination.
2
Education
and
Awareness
Public Health
and Outreach
ChatGPT contributes to
the creation of
educational content,
fostering heightened
awareness about
infectious diseases. It
elucidates complex
concepts, debunks
prevailing myths, and
advocates preventive
practices.
The dissemination
of information
through ChatGPT
enhances public
knowledge,
diminishes
societal stigma,
and augments
prevention efforts.
Key considerations
include upholding
the accuracy and
evidence-based
nature of the
provided
information, as
well as addressing
cultural nuances in
communication.
3
Decision
Support
Clinical
Infectious
Diseases
ChatGPT assists
healthcare practitioners in
making informed
decisions by offering
guidance on diagnosing
Its use results in
improved patient
care, accelerated
response to
outbreaks, and
Challenges
encompass
potential liability
issues, the risk of
overreliance on AI,

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and treating infectious
diseases. Additionally, it
identifies potential
outbreaks and
recommends appropriate
interventions.
data-driven
decision-making.
and the need for
human oversight in
critical medical
decisions.
4
Telemedicine
Support
Telemedicine
and Remote
Care
ChatGPT seamlessly
integrates into
telemedicine platforms,
thereby facilitating
preliminary assessments,
addressing patient
queries, and providing
guidance on infectious
disease concerns.
The incorporation
of ChatGPT into
telemedicine
enhances
healthcare
accessibility,
reduces costs, and
enables remote
consultations,
especially
valuable in
underserved
areas.
However, concerns
persist regarding
data privacy,
security, and
regulatory
compliance in
telemedicine
settings.
5
Research
Assistance
Infectious
Disease
Research
ChatGPT aids researchers
in sourcing relevant
literature, formulating
hypotheses, and
conducting data analysis
for infectious disease
research. It expedites the
literature review process
and enhances data
interpretation.
Its use accelerates
research progress,
identifies gaps in
existing literature,
and fosters
collaboration
among
researchers.
Challenges include
potential biases in
data sources and
the necessity for
validation of
findings by domain
experts.
6
Multi-lingual
Support
Global Health
ChatGPT provides
comprehensive support in
multiple languages,
catering to a diverse
global audience. This
inclusive approach
improves accessibility and
communication for
international health
concerns.
The versatility of
ChatGPT
facilitates broader
reach, inclusivity,
and effective
communication
within diverse
communities,
especially during
global health
crises.
Nevertheless,
ensuring language
accuracy, cultural
sensitivity, and
addressing
translation
challenges are
critical
considerations in
its multi-lingual
application.
7
Public Health
Campaigns
Health
Promotion and
Communication
ChatGPT plays a pivotal
role in generating content
for public health
campaigns, advocating
vaccination, endorsing
hygienic practices, and
promoting disease
prevention strategies.
Its contribution
extends to
enhancing
campaign reach,
encouraging
behavior change,
and increasing
compliance with
public health
recommendations.
Sustaining up-to-
date content,
addressing vaccine
hesitancy, and
adhering to ethical
messaging
standards are
essential factors to
monitor in this
context.

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8
Training and
Simulation
Healthcare
Preparedness
ChatGPT facilitates the
development of training
simulations and scenarios
for healthcare
professionals, enabling
them to practice and hone
their skills in responding
to infectious disease
outbreaks.
Its application
advances
healthcare
preparedness,
reduces risks, and
provides a safe
environment for
training
healthcare
workers.
However, ensuring
the realism of
simulations and
addressing the
resource-intensive
nature of
simulation
development
remain critical
considerations.
Contribution of ChatGPT in Cancer Research
ChatGPT, as an advanced language model, holds significant promise in contributing to various subfields of
cancer research [44,45]. Cancer is a complex and multifaceted disease with numerous subfields, each requiring
a deep understanding and effective communication among researchers. ChatGPT's capabilities can enhance
cancer research across genomics, immunotherapy, epidemiology, drug discovery, and clinical decision-making.
In the realm of cancer genomics, ChatGPT plays a crucial role by assisting researchers in interpreting complex
genetic data. Genomic data analysis is fundamental in understanding the genetic basis of cancer, including the
identification of driver mutations that fuel the growth of tumors. ChatGPT can help researchers sift through
vast datasets, extract relevant information, and provide insights into potential driver mutations. Its ability to
rapidly process and comprehend genomic data can significantly accelerate the identification of key genetic
factors in cancer development. Furthermore, ChatGPT can assist in suggesting experimental approaches for
further investigation [46-47]. By analyzing existing research and experimental methodologies, ChatGPT can
propose innovative research directions, such as novel model systems or experimental techniques, which can
help advance our understanding of cancer genetics and ultimately lead to the development of targeted
therapies.
In the field of cancer immunotherapy, ChatGPT offers valuable support in designing personalized treatment
strategies. Immunotherapy has emerged as a promising approach in cancer treatment, but it requires a deep
understanding of a patient's immune profile and the identification of suitable immunotherapeutic targets.
ChatGPT can analyze a patient's genetic and immunological data to recommend personalized treatment
options. It can also stay up-to-date with the latest advancements in immunotherapy and suggest relevant
clinical trials or experimental treatments that may benefit individual patients.
In cancer epidemiology, ChatGPT's contribution lies in its ability to process and analyze large-scale population
studies. These studies aim to identify risk factors, trends in cancer incidence and mortality, and potential
preventive measures. ChatGPT can assist researchers by conducting data mining and summarizing findings
from epidemiological studies, helping to pinpoint significant associations between lifestyle, environmental
factors, and cancer risk. This can aid in public health efforts to reduce cancer rates by targeting modifiable risk
factors.
Moreover, ChatGPT can be a powerful tool in the field of drug discovery. Discovering novel cancer drugs is a
complex and time-consuming process that involves sifting through extensive scientific literature to identify
potential drug targets and their mechanisms of action. ChatGPT can expedite this process by rapidly reviewing
and summarizing existing research, highlighting promising drug candidates, and suggesting novel therapeutic
approaches based on the latest scientific findings. This can significantly reduce the time and resources required
for drug discovery, ultimately leading to the development of more effective cancer treatments.
In the clinical setting, ChatGPT can support oncologists in making informed decisions about cancer treatment. It
can serve as a comprehensive knowledge repository, constantly updated with the latest treatment guidelines,
clinical trial information, and emerging therapies. When oncologists consult ChatGPT, they can receive quick
and accurate information tailored to specific patient cases, facilitating evidence-based decision-making and
improving patient outcomes.
Furthermore, ChatGPT can assist in patient communication. It can generate clear and concise explanations of
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convey information to their patients in an understandable manner. This enhanced communication can improve
patient satisfaction and adherence to treatment plans, ultimately contributing to better overall outcomes in
cancer care.
ChatGPT's contributions to cancer research are multifaceted and span across various subfields. Its ability to
process and analyze vast amounts of biomedical data, facilitate communication among researchers, and provide
valuable insights holds immense promise for accelerating discoveries and improving patient outcomes in the
fight against cancer. Whether it's assisting in genomics, immunotherapy, epidemiology, drug discovery, or
clinical decision-making, ChatGPT has the potential to revolutionize the way we approach and understand
cancer, ultimately leading to more effective treatments and better patient care. Table 2. Shows the role of
ChatGPT in cancer research.
Table 2: Role of ChatGPT in cancer research
Sr.
No.
Contribution
Subfield of
Cancer
Research
Description
Potential
Impact
Challenges and
Considerations
1
Literature
Review
Oncology
ChatGPT assists
researchers in
summarizing and
extracting key
information from cancer-
related literature,
ensuring up-to-date
knowledge.
Improved
research
efficiency and
quality
Accuracy and
relevance of
extracted data
2 Data Analysis
Genomic
Oncology
ChatGPT aids in analyzing
large genomic datasets to
identify mutations and
gain insights into cancer
development,
progression, and
personalized treatment.
Identifying
genetic markers
for targeted
therapies
Data privacy,
quality, and
interpretation
issues
3 Drug Discovery
Drug
Development
ChatGPT provides insights
and predictions for the
discovery of new cancer
drugs and therapies,
potentially speeding up
development.
Accelerated
drug discovery
process
Validation and
safety concerns
4
Clinical Trial
Matching
Clinical Research
ChatGPT assists in
matching cancer patients
with suitable clinical trials
based on medical history,
genetics, and preferences,
enhancing patient access
to experimental
treatments.
Enhanced
patient
recruitment
Patient safety
and informed
consent
5
Patient
Education
Patient Support
ChatGPT delivers reliable
information on cancer, its
risk factors, treatment
options, and support
resources to patients and
families, empowering
Improved
patient
understanding
Ensuring
accuracy and
currency of
information

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them with knowledge.
6
Communication
and
Collaboration
Multidisciplinary
Research
ChatGPT facilitates
communication and
collaboration among
researchers, clinicians,
and patients to foster
knowledge sharing and
collective cancer research
efforts.
Enhanced
interdisciplinary
cooperation
Privacy and data
sharing
challenges
7
Personalized
Treatment Plans
Precision
Medicine
ChatGPT helps create
personalized cancer
treatment plans by
considering medical
history, genetic profile,
and patient preferences,
optimizing therapy
outcomes.
Tailored
treatment
approaches
Clinical
validation and
implementation
hurdles
Ethical
Considerations
Bioethics
ChatGPT engages in
discussions on ethical
issues in cancer research,
including informed
consent, data privacy, and
responsible AI usage,
offering ethical guidance.
Ethical guidance
and responsible
AI use
Ensuring ethical
and transparent
practices
8
Public
Awareness
Cancer
Education
ChatGPT contributes to
raising public awareness
about cancer prevention,
early detection, and
available support
resources, furthering
public health awareness.
Increased public
health
awareness
Addressing
potential
misinformation
Contribution of ChatGPT in cardiovascular disease
Cardiovascular Risk Assessment: ChatGPT assists individuals and healthcare professionals in evaluating the
risk of conditions like coronary artery disease, stroke, and heart failure. It takes into account factors such as
age, gender, family history, and lifestyle choices to provide accurate risk assessments.
Cardiac Imaging Interpretation: In collaboration with medical experts, ChatGPT aids in the interpretation of
cardiac imaging studies like echocardiograms, angiograms, and MRI scans. This helps with precise diagnosis
and treatment planning for heart-related issues.
Cardiovascular Pharmacology: ChatGPT offers comprehensive information about various cardiovascular
medications, including antiplatelet agents, beta-blockers, and lipid-lowering drugs. It educates patients about
medication usage, potential side effects, and benefits.
Cardiac Rehabilitation: ChatGPT provides guidance on post-heart attack or post-surgery rehabilitation
programs. It outlines exercise routines and lifestyle adjustments to enhance cardiovascular health during the
recovery process.
Interventional Cardiology: It explains procedures like angioplasty and stent placement, offering patients clear
insights into the procedures' purpose, potential risks, and recovery expectations.
Cardiothoracic Surgery: ChatGPT offers information on a range of cardiac surgeries, from coronary artery
bypass grafting (CABG) to heart valve replacements. Patients can better prepare for these surgeries by
understanding the procedures involved.

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Electrophysiology: It elucidates conditions related to abnormal heart rhythms (arrhythmias) and their
treatments, including pacemakers, implantable cardioverter-defibrillators (ICDs), and catheter ablation
procedures.
Cardiovascular Research: ChatGPT supports researchers by summarizing and contextualizing studies in fields
such as cardiac genetics, biomarker research, and emerging therapies. This aids in the advancement of
cardiovascular medicine.
Preventive Cardiology: It offers personalized recommendations for lifestyle changes, such as dietary
modifications and exercise plans, to lower the risk of cardiovascular disease and enhance overall heart health.
Pediatric Cardiology: ChatGPT provides information about congenital heart defects, pediatric heart surgeries,
and long-term management strategies for children with heart conditions.
III. ROLE OF CHATGPT FOR ADDRESSING CLIMATE CHANGE AND GLOBAL
WARMING CHALLENGES
Climate change and global warming stand as some of the most urgent challenges humanity faces in the 21st
century [48-50]. These issues stem from the surge in greenhouse gas emissions, primarily carbon dioxide
(CO2), resulting from human activities such as burning fossil fuels, deforestation, and industrial processes.
Addressing these formidable challenges necessitates a comprehensive approach, and advanced technologies,
like MCDM and artificial intelligence (AI), can assume a pivotal role [51-56]. One such AI tool is ChatGPT, a
language model developed by OpenAI.
Increasing Awareness and Facilitating Education
An indispensable aspect of tackling climate change and global warming is ensuring that individuals are well-
informed about these critical issues. ChatGPT can make a substantial contribution to this goal in several ways:
Responding to Climate-Related Queries: ChatGPT can furnish accurate and easily understandable information
on climate change, encompassing its causes, repercussions, and potential remedies. Users can pose inquiries
regarding climate science, policies, and sustainable practices, and receive informative responses, thereby
helping to dispel misconceptions and falsehoods.
Climate Change Chatbots: Developers can harness ChatGPT to create chatbots with a focus on climate-related
topics. These chatbots can engage with the public and provide tailored information, integrated into websites,
social media platforms, and mobile apps, thus making climate education more accessible and interactive.
Classroom Aid: ChatGPT can serve as a valuable resource in educational settings. Educators can utilize it to
complement their lessons with current information on climate change, thereby facilitating students'
comprehension of intricate concepts.
Informing Climate Policy and Advocacy
Effective climate policies are imperative for curbing greenhouse gas emissions and transitioning towards a
more sustainable future. ChatGPT can lend its support to climate policy and advocacy efforts in several ways:
Policy Analysis: ChatGPT can dissect and summarize intricate climate policies, aiding policymakers and
advocates in comprehending the ramifications of various measures. This can promote evidence-based decision-
making.
Public Engagement: ChatGPT can interact with the public to collect opinions and recommendations concerning
climate policies. By grasping public sentiment, policymakers can better align policies with the interests of their
constituents.
Climate Communication: Climate advocacy organizations can employ ChatGPT to craft persuasive messages and
materials for their campaigns, thus mobilizing public support for climate action.
Mitigating Climate Impact
Reducing greenhouse gas emissions is a pivotal component of addressing global warming. ChatGPT can
contribute to climate mitigation efforts in diverse ways:
Energy Efficiency Recommendations: ChatGPT can offer personalized suggestions for energy-efficient practices
and technologies, thereby aiding individuals and businesses in reducing their carbon footprint.

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Carbon Footprint Calculators: Developers can design carbon footprint calculators powered by ChatGPT,
allowing users to estimate their emissions and explore methods to offset them through sustainable actions.
Renewable Energy Planning: ChatGPT can assist in planning renewable energy projects by analyzing
geographical data, energy demand, and environmental considerations. This can optimize the deployment of
clean energy sources.
Adapting to Climate Change
Adjusting to the impacts of climate change, such as extreme weather events and rising sea levels, is
indispensable for resilience. ChatGPT can bolster climate adaptation in the following ways:
Risk Assessment: ChatGPT can scrutinize data and offer risk assessments for specific regions, aiding local
authorities and communities in preparing for climate-related disasters.
Disaster Response Planning: Emergency response agencies can utilize ChatGPT to formulate disaster response
plans and communication strategies tailored to the unique challenges posed by climate change.
Community Education: ChatGPT can facilitate the creation of educational materials that inform communities
about climate-related risks and the steps they can take to prepare.
Climate Research and Innovation
Innovative technologies and scientific breakthroughs are pivotal to addressing climate change. ChatGPT can
facilitate climate research and innovation by:
Data Analysis: ChatGPT can process vast volumes of climate data, assisting researchers in identifying trends,
correlations, and potential solutions. It can also aid in data visualization for improved comprehension.
Idea Generation: Researchers and innovators can collaborate with ChatGPT to brainstorm innovative solutions
to climate challenges, potentially expediting the development of new technologies.
Scientific Collaboration: ChatGPT can foster connections between researchers worldwide, facilitating
interdisciplinary collaboration on climate-related projects.
Challenges and Considerations
While ChatGPT holds considerable potential in addressing climate change and global warming challenges, there
are also several challenges and considerations to bear in mind:
Accuracy of Information: Ensuring that ChatGPT provides accurate and up-to-date information on climate
science and policy is paramount. Regular updates and fact-checking mechanisms are imperative.
Bias and Fairness: Developers must exercise vigilance in addressing bias in AI models like ChatGPT, especially
concerning sensitive topics like climate change. Efforts should be made to ensure fairness in information
dissemination.
Privacy and Security: Climate-related chatbots and tools driven by ChatGPT must adhere to stringent privacy
and security standards, particularly when handling user data.
Access and Inclusivity: Endeavors should be made to ensure that ChatGPT-based climate solutions are
accessible to a wide spectrum of users, encompassing those with disabilities and those in underserved
communities.
Ethical Considerations: Conversations about climate change often entail ethical and moral dilemmas.
Developers and users should be cognizant of these complexities and handle them with sensitivity.
ChatGPT, endowed with its natural language comprehension and generation capabilities, can play an
indispensable role in addressing climate change and global warming. From heightening awareness and
educating the public to aiding in policy formulation, mitigation, adaptation, research, and innovation, ChatGPT
can contribute across various facets of the climate crisis. Nevertheless, it is imperative to approach this
technology with meticulous attention to accuracy, bias, privacy, inclusivity, and ethics to maximize its positive
impact in the battle against climate change. As the world grapples with the consequences of a changing climate,
AI tools like ChatGPT offer a valuable avenue to engage, inform, and empower individuals and communities to
undertake meaningful action toward a more sustainable future.

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IV. CHATGPT CONTRIBUTION TO ADVANCING COMPUTER PROGRAMMING
ChatGPT, built on the GPT architecture, has played a pivotal role in advancing computer programming in
various key domains [57-59]. Its influence is evident across multiple facets of this field, encompassing support
in code generation, collaborative coding, code comprehension, debugging, documentation, and beyond.
1. Code Generation and Assistance:
A prominent facet of ChatGPT's impact on computer programming is its prowess in code generation and
assistance. Capable of comprehending natural language queries, ChatGPT can furnish code snippets or even
entire programs as responses to user inquiries. This feature is a priceless asset for developers, especially
novices, as it acts as a bridge between their programming ideas and their manifestation in code. For example, a
developer can ask ChatGPT questions like, "How can I create a Python function to calculate a number's
factorial?" ChatGPT can then supply a code snippet that demonstrates the implementation of such a function.
This rapid code generation ability accelerates development cycles, boosts productivity, and empowers
programmers to swiftly prototype and actualize their concepts.
2. Debugging and Problem Solving:
ChatGPT also lends its prowess to debugging and problem-solving in computer programming [60-61]. When
developers encounter errors or stumbling blocks in their code, they can describe the issue to ChatGPT in plain
language. The model can then assist in pinpointing potential culprits of the problem and suggest debugging
strategies or code refinements to resolve it. For instance, a developer might describe an error as "TypeError:
'int' object is not iterable." ChatGPT can elucidate the nature of this error and propose potential solutions, such
as scrutinizing the code for improper iterations over integers. This form of guidance helps programmers
surmount obstacles and streamlines the debugging process, ultimately leading to more efficient coding
practices.
Utilizing ChatGPT for debugging programming issues proves to be a valuable approach that aids in the
troubleshooting and problem-solving journey. This natural language processing model extends its support to
programmers by furnishing suggestions, explanations, and guidance for identifying and rectifying bugs in their
code. To commence, programmers can articulate the bug they're grappling with in plain language, elucidating
its symptoms, error messages, and pertinent context. This preliminary step equips ChatGPT with the requisite
information to offer effective assistance. Once the issue is elucidated, developers can seek general counsel on
debugging methodologies and best practices. ChatGPT can impart insights into prevalent debugging strategies,
enabling programmers to methodically address the problem. Sharing the problematic code snippet with
ChatGPT emerges as a pivotal stride. By pinpointing the specific section of code triggering the issue or where an
error is manifesting, programmers can beseech ChatGPT to scrutinize the code and propose potential trouble
spots. Error messages often confound developers, and ChatGPT can prove instrumental in deciphering them.
Developers can request elucidations of error messages, traceback information, or instructions on interpreting
particular errors, thereby facilitating a comprehension of the issue's origin. Developers can also inquire about
potential remedies for their code. Whether it entails enhancing the logic, suggesting alternative code structures,
or furnishing coding tips, ChatGPT can supply invaluable recommendations to efficaciously resolve bugs.
Hypothesis testing constitutes another pivotal facet of debugging. Developers can converse with ChatGPT
regarding their conjectures about the bug's root cause, seeking feedback on their hypotheses and exploring
alternative explanations. For a more comprehensive debugging strategy, developers can solicit insights into
debugging tools and techniques. Queries such as "What are some effective methods for detecting logic errors?"
or "How can I harness debugging tools adeptly?" can yield valuable counsel. ChatGPT can also steer developers
towards pertinent documentation, libraries, or resources that may facilitate the resolution of specific coding
issues. This guidance streamlines the process, saving valuable time that would otherwise be spent searching for
information independently. Code refactoring emerges as a critical step in bug resolution. ChatGPT can proffer
recommendations on how to refine code structure and readability, thereby diminishing the likelihood of future
bugs arising from code complexity. Lastly, developers can seek counsel on testing and validation procedures to
ensure bug rectification. ChatGPT can provide insights into unit testing, integration testing, or recommend
specific testing libraries or tools for validating code modifications. While ChatGPT stands as a valuable tool in
the debugging process, developers should complement its suggestions with their programming expertise and

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judgment. Thoroughly verifying code changes and iterating until the bug is resolved remains indispensable.
Additionally, the quality of advice dispensed by ChatGPT may fluctuate, underscoring the importance of
employing it as a supplementary resource rather than the sole solution for addressing intricate debugging
challenges.
3. Code Refactoring and Optimization:
Another noteworthy contribution of ChatGPT to computer programming lies in the realm of code refactoring
and optimization. Refactoring entails enhancing the structure and readability of existing code without altering
its functionality, while optimization revolves around making code execute faster and consume fewer resources.
Developers can turn to ChatGPT for advice on how to refactor convoluted or intricate code segments, making
them more maintainable and comprehensible. Additionally, the model can suggest optimization strategies to
augment code performance. For instance, if a developer seeks to optimize a sorting algorithm, ChatGPT can
provide insights into various sorting algorithms and their time complexities, aiding the developer in choosing
the most apt approach for the specific problem at hand.
4. Collaboration and Pair Programming:
ChatGPT acts as a catalyst for collaborative programming endeavors and pair programming, both indispensable
practices in the software development realm. Developers can employ ChatGPT as a virtual partner or
collaborator, engaging in discussions about coding concepts, brainstorming solutions, and even co-authoring
code. Pair programming with ChatGPT proves especially advantageous for remote teams or lone developers
who lack immediate access to colleagues for real-time collaboration. Through interactions with the model,
developers can simulate pair programming sessions, yielding code of higher quality and enhancing knowledge
sharing among development teams.
5. Code Understanding and Documentation:
Comprehending and documenting code represent pivotal facets of programming, and ChatGPT significantly
contributes to both endeavors by providing explanations and descriptions of code snippets, functions, libraries,
and frameworks in plain language. When developers encounter unfamiliar code or libraries, they can solicit
ChatGPT for explanations or documentation. This expedites their understanding of code functionality,
diminishing the learning curve associated with new technologies or codebases. Furthermore, ChatGPT can
assist in automating the documentation process for code projects. By analyzing the codebase and extracting
pertinent information, it can generate documentation encompassing explanations, usage examples, and API
references. This automated documentation generation saves developers time and ensures well-documented
codebases, fostering superior code maintainability and collaboration.
6. Learning and Skill Development:
ChatGPT serves as an invaluable resource for learning and skill enhancement in computer programming. It can
furnish comprehensive explanations, tutorials, and examples covering a broad spectrum of programming
languages and topics. This renders it an invaluable tool for both neophyte and seasoned programmers seeking
to expand their knowledge or acquire new skills. Neophytes can rely on ChatGPT to elucidate concepts and
guide them through coding exercises, while seasoned developers can use it to delve into advanced topics or
stay abreast of the latest programming trends. The model's capacity to tailor its responses to the user's
expertise level renders it a versatile and personalized learning companion.
7. Knowledge Sharing and Community Building:
ChatGPT contributes substantially to knowledge dissemination and community building within the
programming sphere. Developers can engage with the model to solicit advice, exchange experiences, and share
insights on diverse programming-related subjects. This nurtures a sense of community and collaboration
among programmers, both within their organizations and in broader online communities. Online programming
forums and communities stand to gain considerably from ChatGPT's capability to deliver instant, high-quality
responses to user queries. This elevates the caliber of discussions while also fostering increased participation
and knowledge exchange among community members. Moreover, ChatGPT can aid in propagating best
practices and coding standards, guaranteeing that developers worldwide have access to uniform, current
information. This fosters a culture of perpetual enhancement and professionalism within the programming
community.

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8. Multilingual Support and Accessibility:
An additional, noteworthy contribution of computer programming is its multilingual support and commitment
to accessibility [62-65]. The model can communicate with and assist developers in numerous languages,
dismantling language barriers and cultivating a more inclusive programming milieu. This multilingual capacity
proves especially advantageous for developers from non-English-speaking backgrounds, allowing them to
access programming knowledge and resources in their native languages. It further champions diversity and
inclusivity within the global programming community, simplifying collaboration and knowledge sharing among
developers from diverse linguistic backgrounds. Furthermore, ChatGPT's accessibility features, encompassing
text-to-speech and screen reader compatibility, ensure that programmers with disabilities can leverage its
capabilities. This aligns with the principles of universal design and accessibility in technology, rendering
programming resources more widely accessible and usable.
9. Ethical Considerations and Responsible AI:
As ChatGPT continues to spearhead advancements in computer programming, it simultaneously underscores
the critical importance of ethical considerations and responsible AI development. The model's capacity to
generate code and offer programming guidance introduces the potential for misuse, plagiarism, or inadvertent
dissemination of incorrect or insecure coding practices. To mitigate these concerns, developers and
organizations must wield ChatGPT responsibly, rigorously vetting its code recommendations, conducting
thorough testing, and adhering to ethical coding standards. This accentuates the necessity for responsible AI
guidelines and practices in the programming community, fostering ethical and secure programming practices.
ChatGPT has exerted substantial influence on the evolution of computer programming across a multitude of
dimensions. Its capabilities span from code generation and assistance to debugging, refactoring, collaboration,
code comprehension, and documentation. Additionally, it supports learning and skill development, catalyzes
knowledge sharing and community building, offers multilingual support, and champions accessibility.
Nonetheless, it remains imperative for developers and organizations to exercise ethical and responsible usage
of ChatGPT, recognizing its potential benefits alongside the ethical challenges it introduces. As AI technologies
like ChatGPT persist in their evolution, they hold the potential to revolutionize how programmers work, learn,
and collaborate
V. PERFORMANCE AND CONTRIBUTION OF CHATGPT IN EDUCATION
ChatGPT has made remarkable strides within the realm of education, presenting a versatile and potent tool for
both educators and students [66]. Its impact spans several pivotal domains, encompassing personalized
learning, accessibility, language support, and virtual tutoring. One of the standout contributions of ChatGPT in
education is its capacity to facilitate tailored learning experiences. Leveraging its natural language processing
capabilities, ChatGPT can adeptly adapt to individual learning styles and paces, delivering bespoke
explanations, illustrative examples, and constructive feedback. This tailoring elevates the efficacy of online
learning platforms and enhances students' comprehension of intricate concepts. Accessibility is another arena
where ChatGPT has excelled. It plays a pivotal role in providing support for students with disabilities,
encompassing those with visual or auditory impairments. By seamlessly converting text into speech or vice
versa, ChatGPT ensures that educational content becomes accessible to a broader spectrum of learners [66-68].
Moreover, it extends a helping hand to students grappling with reading comprehension issues by furnishing
explanations and summaries in a more approachable format. The language support capabilities of ChatGPT
prove invaluable, particularly in multicultural and multilingual educational settings. It possesses the prowess to
translate text into a multitude of languages, offering indispensable assistance to non-native English speakers.
Furthermore, its capacity to generate content in diverse languages renders it a valuable asset in the realm of
global education, effectively dismantling language barriers.
A promising application of ChatGPT in education is its role as a virtual tutor [66,69]. It assumes the mantle of
answering queries, elucidating concepts, and providing aid across an extensive array of subjects. This attribute
renders it an invaluable resource for students seeking supplementary guidance beyond the confines of the
classroom. This virtual tutoring function is especially advantageous in remote or online learning environments,
where direct access to educators might be limited. Additionally, ChatGPT has the capacity to generate practice
questions and quizzes, which aid students in evaluating their understanding and preparing for examinations.

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This feature champions active learning and furnishes immediate feedback, a pivotal component for skill honing
and academic triumph. Educators also stand to gain as they can leverage ChatGPT for the creation of
educational content and streamlined lesson planning, thereby conserving valuable time and resources.
Another pivotal facet of ChatGPT's contribution to education is its role in nurturing creativity and critical
thinking. It can serve as a guiding force, assisting students in brainstorming ideas, refining their writing, or
untangling complex problems. By providing suggestions and alternative perspectives, ChatGPT fosters
intellectual growth and kindles the flames of unconventional thinking. Furthermore, ChatGPT's expansive
knowledge repository empowers it to keep educational materials perpetually up-to-date and germane. It can
supply real-time insights on contemporary events, scientific breakthroughs, and technological advances. This
ensures that students have unbridled access to the most recent and precise information, elevating the caliber of
their education. Nonetheless, ChatGPT's utilization in education also presents certain challenges. A notable
concern is the potential for plagiarism when students overly depend on ChatGPT-generated content for
assignments. Educators must underscore the significance of originality and proper citation to uphold academic
integrity. Ethical considerations surrounding the use of AI in education pose another challenge. It is imperative
to establish clear guidelines and policies to guarantee the responsible use of ChatGPT, preventing any
compromises on privacy or perpetuation of bias. Educators bear the responsibility of acknowledging the ethical
implications associated with AI-powered tools and offering appropriate guidance to students.
ChatGPT has etched profound contributions in the sphere of education by revolutionizing personalized
learning, enhancing accessibility, extending language support, assuming the role of a virtual tutor, nurturing
creativity and critical thinking, and ensuring the currency of educational materials. While there exist challenges
that require attention, the potential of ChatGPT to enhance the quality and accessibility of education remains
undeniable. As this technology continues to evolve, its role in education is poised for expansion, proffering even
more innovative solutions to the challenges confronting educators and learners alike.
VI. A CHATGPT FOR SCIENTIFIC PUBLISHING
Scientific publishing stands as a cornerstone within the academic realm, serving as the primary conduit
through which researchers disseminate their discoveries to the global community. Nevertheless, conventional
methods for sharing scientific knowledge have encountered numerous obstacles, including issues of
accessibility, comprehension, and the prompt transmission of new findings. In recent times, artificial
intelligence (AI) has emerged as a transformative force across various domains, with its potential applications
in scientific publishing proving no exception [70-72]. One particularly promising development is the emergence
of ChatGPT, a robust AI-driven chatbot poised to revolutionize scientific publishing by addressing these
challenges and elevating knowledge dissemination.
Accessibility and Inclusivity
One of the most formidable challenges in scientific publishing pertains to the restricted accessibility of research
papers. A multitude of invaluable scientific articles remains confined behind paywalls, rendering them beyond
reach for those without costly subscriptions. This exclusivity obstructs the democratization of knowledge and
impedes the advancement of science. ChatGPT's role in scientific publishing could be transformative in this
regard. By offering a conversational interface, it has the potential to facilitate the dissemination of research
findings in a more accessible and inclusive manner. ChatGPT can assist users by distilling complex research
papers into plain language, addressing inquiries, and furnishing pertinent excerpts. This means that individuals
from diverse backgrounds, regardless of their financial resources, can engage with and grasp the latest
scientific revelations. Furthermore, it may offer translations and interpretations for non-English speakers,
fostering a genuinely global exchange of knowledge. In doing so, ChatGPT dismantles barriers and empowers a
broader audience to partake in and contribute to the scientific discourse.
Enhancing Comprehensibility
Scientific research papers frequently employ specialized terminology and intricate technical language, which
can be intimidating to non-experts. This complexity can dissuade individuals from engaging with vital research,
constraining opportunities for interdisciplinary collaboration and knowledge dissemination. ChatGPT holds the
potential to tackle this challenge by serving as a bridge between experts and laypeople. The chatbot can
simplify scientific concepts, breaking them down into more digestible explanations. It can also generate plain-

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language summaries of research articles, rendering them more comprehensible to a wider audience.
Furthermore, ChatGPT can supply definitions and context for scientific terms, facilitating a deeper
understanding of the subject matter. By enhancing comprehensibility, ChatGPT encourages greater
involvement with scientific literature among diverse audiences, ultimately benefiting the advancement of
knowledge.
Speed and Timeliness
Scientific publishing frequently grapples with issues concerning the timeliness of information dissemination.
Traditional peer-review processes, while crucial for ensuring research quality, can be protracted, resulting in
delays in the release of significant findings. ChatGPT can expedite the dissemination process by offering a
platform for preprints and preliminary research results. Researchers can employ ChatGPT to share their work
in real-time, enabling the scientific community to access and deliberate on it promptly. This promptness is
especially crucial in fields such as epidemiology and public health, where timely information can exert a
substantial influence on public policy and healthcare decisions. ChatGPT's ability to swiftly circulate
information complements the established peer-review process, facilitating faster access to research while
preserving the integrity of rigorous evaluation.
Facilitating Collaboration and Feedback
Scientific publishing not only entails sharing research but also fostering collaboration and constructive
feedback among peers. ChatGPT can function as a virtual meeting place for researchers to discuss their work
and partake in meaningful exchanges. It can facilitate discussions, enabling scientists from diverse disciplines
to collaborate on complex issues. Additionally, ChatGPT can generate structured feedback on research articles,
aiding authors in improving their work prior to formal publication. By offering suggestions, highlighting
potential gaps or inconsistencies, and presenting alternative viewpoints, ChatGPT enhances research quality
and expedites the publication process.
Ethical Considerations and Challenges
While the potential benefits of a ChatGPT for scientific publishing are evident, it also raises ethical concerns and
challenges. Ensuring the accuracy and reliability of information disseminated through the chatbot is
paramount. Researchers and publishers must establish guidelines and verification processes to maintain the
integrity of the content shared via ChatGPT. Another challenge pertains to the possibility of biases within the AI
system. If not rigorously trained and monitored, ChatGPT could inadvertently perpetuate biases present in
existing scientific literature. It is essential to address bias and promote inclusivity and diversity in both the
training data and the responses generated by the chatbot. Privacy and data security are also significant
concerns, as ChatGPT may handle sensitive information during discussions. Implementing robust security
measures and clear data handling policies is crucial to protect user information.
Moreover, while ChatGPT can expedite information dissemination, it should not wholly replace the traditional
peer-review process. Peer review remains vital for ensuring research quality and reliability. ChatGPT should
complement, rather than supplant, this established system.
The Future of ChatGPT in Scientific Publishing
A ChatGPT for scientific publishing holds immense promise in addressing the challenges of accessibility,
comprehensibility, speed, collaboration, and feedback in the dissemination of scientific knowledge. By
providing a conversational interface, simplifying complex concepts, and expediting information sharing,
ChatGPT can democratize access to research and enhance the exchange of ideas. However, ethical
considerations and challenges, such as accuracy, bias, privacy, and the role of peer review, must be carefully
navigated. As technology continues to advance and AI models like ChatGPT evolve, the future of scientific
publishing is likely to become increasingly intertwined with AI-powered tools. Researchers, publishers, and
policymakers must work collaboratively to harness the potential of AI in a way that benefits the scientific
community and society at large while upholding the principles of transparency, integrity, and inclusivity. A
ChatGPT for scientific publishing represents a significant step toward a more accessible, collaborative, and
expedited dissemination of knowledge, propelling innovation and progress within the realm of science.

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VII. CONCLUSION
In this research, we have delved into the multifaceted impacts of ChatGPT and similar large language models on
scientific and research progress. We have recognized that these models offer tremendous potential as powerful
tools but also pose significant challenges. Our investigation has revolved around keywords like ChatGPT,
generative artificial intelligence, public health, climate change, programming bugs, and education. Through a
comprehensive analysis of these facets, we have gained valuable insights into the transformative influence of
ChatGPT in the fields of public health, climate change, computer programming, and education. One of the most
promising applications of ChatGPT lies in the domain of scientific publishing. Generative AI has the potential to
revolutionize how research findings are communicated and disseminated. Researchers can employ ChatGPT to
draft manuscripts, abstracts, or summaries, thereby expediting the publication process. This technology can
also aid in translating intricate scientific terminology into more understandable language, fostering better
communication between scientists and the general public.
ChatGPT holds significant promise in the fields of public health and medical writing. Its capacity to generate
accurate and coherent medical documents can enhance the productivity of healthcare professionals.
Nonetheless, ethical considerations and the risks of disseminating inaccurate information must be carefully
managed. As the use of ChatGPT in healthcare expands, the development of robust guidelines and regulatory
frameworks becomes imperative to uphold high standards of accuracy and ethical conduct. Climate change and
global warming are critical global issues. ChatGPT's contribution in this area is twofold. Firstly, it can assist in
analyzing extensive datasets, aiding researchers in comprehending climate-related information and innovating
solutions. Secondly, it can raise awareness and engage the public in climate discussions by generating
accessible content. However, due to the complexity and sensitivity of climate topics, responsible and ethical
utilization of ChatGPT in this domain is of utmost importance. Computer programming stands to benefit
significantly from ChatGPT's capabilities. Developers can utilize ChatGPT to assist in coding tasks, finding
solutions to programming bugs, and generating code documentation, thus streamlining the development
process. However, the risk of over-reliance on ChatGPT may hinder the development of human coding skills,
necessitating a balance between automation and traditional coding education. ChatGPT can play a pivotal role
in debugging programming bugs by analyzing code snippets and providing suggestions to expedite the
debugging process. However, the reliability of ChatGPT's suggestions must be scrutinized, as incorrect
debugging recommendations can lead to critical software flaws. Caution, along with human verification and
validation, is imperative when leveraging ChatGPT for debugging.
Our exploration of ChatGPT's performance across various fields demonstrates its versatility. In public health, it
demonstrates the capacity to aid in research, generate informative content, and facilitate communication. In
climate change, it can assist in data analysis and public engagement. In computer programming, it has the
potential to streamline development processes and enhance coding practices. In education, ChatGPT can serve
as a valuable teaching assistant, providing explanations and assistance to students. Nevertheless, ChatGPT's
performance varies based on the specific task and the quality of the training data, underscoring the need for
continuous improvement and evaluation. ChatGPT and other large language models have the potential to
revolutionize various fields, including public health, climate change, computer programming, and education.
However, their use must be approached with caution, as they bring ethical, reliability, and bias-related
challenges. The responsible and ethical development, deployment, and regulation of ChatGPT are imperative to
harness its full potential while mitigating potential harms. Future research should focus on refining AI models,
establishing clear guidelines, and fostering interdisciplinary collaboration to ensure that ChatGPT contributes
positively to scientific and research advancements. The double-edged sword of AI should be wielded with
wisdom and diligence to pave the way for a more innovative and inclusive future.
VIII. REFERENCES
[1] Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: how may AI and GPT impact academia and
libraries?. Library Hi Tech News, 40(3), 26-29.
[2] Sallam, M. (2023). ChatGPT utility in healthcare education, research, and practice: systematic review on
the promising perspectives and valid concerns. In Healthcare (Vol. 11, No. 6, p. 887). MDPI.

e-ISSN: 2582-5208
[896]
[3] Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the era of generative artificial intelligence (AI):
Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI,
7(1), 52-62.
[4] King, M. R., & ChatGPT. (2023). A conversation on artificial intelligence, chatbots, and plagiarism in
higher education. Cellular and Molecular Bioengineering, 16(1), 1-2.
[5] Hisan, U. K., & Amri, M. M. (2023). ChatGPT and medical education: A double-edged sword. Journal of
Pedagogy and Education Science, 2(01), 71-89.
[6] Palal, D., Ghonge, S., Jadav, V., & Rathod, H. (2023). ChatGPT: A Double-Edged Sword?. Health Services
Insights, 16, 11786329231174338.
[7] Ali, K., Barhom, N., Tamimi, F., & Duggal, M. (2023). ChatGPT—A double‐edged sword for healthcare
education? Implications for assessments of dental students. European Journal of Dental Education.
[8] Liu, J., Wang, C., & Liu, S. (2023). Utility of ChatGPT in clinical practice. Journal of Medical Internet
Research, 25, e48568.
[9] Chen, J. J., & Lin, J. C. (2023). Artificial intelligence as a double-edged sword: Wielding the POWER
principles to maximize its positive effects and minimize its negative effects. Contemporary Issues in
Early Childhood, 14639491231169813.
[10] Biswas, S. S. (2023). Potential use of chat gpt in global warming. Annals of biomedical engineering,
51(6), 1126-1127.
[11] Deng, J., & Lin, Y. (2022). The benefits and challenges of ChatGPT: An overview. Frontiers in Computing
and Intelligent Systems, 2(2), 81-83.
[12] Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & Wright, R. (2023). “So what if
ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of
generative conversational AI for research, practice and policy. International Journal of Information
Management, 71, 102642.
[13] Gill, S. S., & Kaur, R. (2023). ChatGPT: Vision and challenges. Internet of Things and Cyber-Physical
Systems, 3, 262-271.
[14] Guerra, G. A., Hofmann, H., Sobhani, S., Hofmann, G., Gomez, D., Soroudi, D., ... & Zada, G. (2023). GPT-4
Artificial Intelligence Model Outperforms ChatGPT, Medical Students, and Neurosurgery Residents on
Neurosurgery Written Board-Like Questions. World Neurosurgery.
[15] Mohammad, B., Supti, T., Alzubaidi, M., Shah, H., Alam, T., Shah, Z., & Househ, M. (2023). The pros and
cons of using ChatGPT in medical education: a scoping review. Stud Health Technol Inform, 305, 644-7.
[16] Biswas, S. S. (2023). Role of chat gpt in public health. Annals of biomedical engineering, 51(5), 868-869.
[17] Kahambing, J. G. (2023). ChatGPT, public health communication and ‘intelligent patient
companionship’. Journal of public health, fdad028.
[18] Sallam, M., Salim, N., Barakat, M., & Al-Tammemi, A. (2023). ChatGPT applications in medical, dental,
pharmacy, and public health education: A descriptive study highlighting the advantages and
limitations. Narra J, 3(1), e103-e103.
[19] Sohail, S. S., Madsen, D. Ø., Farhat, F., & Alam, M. A. (2023). ChatGPT and vaccines: Can AI Chatbots
boost awareness and uptake?. Annals of Biomedical Engineering, 1-5.
[20] Hopkins, A. M., Logan, J. M., Kichenadasse, G., & Sorich, M. J. (2023). Artificial intelligence chatbots will
revolutionize how cancer patients access information: ChatGPT represents a paradigm-shift. JNCI
Cancer Spectrum, 7(2), pkad010.
[21] Kahambing, J. G. (2023). ChatGPT, public health communication and ‘intelligent patient
companionship’. Journal of public health, fdad028.
[22] Sanmarchi, F., Bucci, A., Nuzzolese, A. G., Carullo, G., Toscano, F., Nante, N., & Golinelli, D. (2023). A step-
by-step researcher's guide to the use of an AI-based transformer in epidemiology: an exploratory
analysis of ChatGPT using the STROBE checklist for observational studies. Journal of Public Health, 1-
36.
[23] Savage, N. (2023). Drug discovery companies are customizing ChatGPT: here’s how. Nature
Biotechnology.

Contribution and performance of ChatGPT and other Large Language Models (LLM) for scientific and research advancements: a double-edged sword

Contribution and performance of ChatGPT and other Large Language Models (LLM) for scientific and research advancements: a double-edged sword

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