Changing Medical profession with Artifical Intelligence what it means to us Dr.T.V.Rao MD
•Artificial Intelligence fast penetrating to every system and modality of human living However the implications of Artificial Intelligence is truly different from other professions we should be more aware of the ongoing matters and chose what is good in Human and health care ?
•Dr.T.V.Rao MD
•Former professor of Microbiology
•Adviser and Member Associate Elsevier research Netherlands
Artificial intelligence in healthcare revolutionizing personalized healthcare...Fit Focus Hub
Embark on a groundbreaking journey into the future of healthcare, where Artificial Intelligence (AI) is reshaping the landscape and ushering in a new era of personalized medicine tailored to the unique needs of each individual patient.
Explore the transformative power of AI as it becomes the catalyst for a healthcare revolution that goes beyond one-size-fits-all approaches.
In this illuminating exploration, we delve into how AI technologies are spearheading a paradigm shift in the delivery of healthcare services, putting patients at the center of attention.
Witness how machine learning algorithms analyze vast datasets, encompassing genetic information, medical histories, lifestyle choices, and environmental factors, to unlock insights that guide healthcare providers in crafting precise and personalized treatment plans.
Discover the pivotal role of AI in early disease detection, where predictive analytics and data-driven algorithms contribute to proactive interventions.
By identifying subtle patterns and potential risk factors, AI empowers healthcare professionals to intervene at the earliest stages, often before symptoms manifest, leading to more effective and targeted treatment strategies.
Explore the integration of wearable devices and IoT technologies, allowing for continuous patient monitoring beyond the confines of traditional healthcare settings.
AI-driven remote monitoring ensures real-time data analysis, enabling healthcare providers to make informed decisions and adjustments to individual care plans, promoting a proactive and patient-centric approach to healthcare.
Witness the acceleration of drug discovery and development through AI, as sophisticated algorithms analyze vast datasets to identify potential therapeutic targets and streamline the research and development process.
The result is a more efficient and tailored approach to pharmaceuticals, reducing trial-and-error methods and enhancing treatment outcomes.
Through captivating case studies and real-world examples, gain insights into how AI is optimizing resource allocation, improving patient engagement, and fostering a collaborative ecosystem between healthcare providers and patients.
Embrace the future of healthcare, where the marriage of human expertise and AI-driven insights paves the way for a more personalized, precise, and effective approach to individualized patient care.
Join us on this journey through the transformative impact of Artificial Intelligence in Healthcare, where the promise of personalized medicine becomes a reality, and each patient's unique characteristics guide the way towards a healthier and more tailored future.
Benefits of AI for the Medical Field in 2023.Techugo
AI can assist in medical diagnosis, drug discovery, personalized medicine, and patient monitoring. It can also improve the efficiency of healthcare systems and reduce medical errors.
Here are the Benefits of AI for the Medical Field in 2023 and Beyond.pdfTechugo
A combination of unstoppable forces drives demand: changing patient expectations, population aging, lifestyle changes, and the never-ending innovation cycle are just a few. The implications of an aging population are the most important. One in four North American and European citizens will be 65 years old by 2050
Here are the Benefits of AI for the Medical Field in 2023 and Beyond!.pdfTechugo
Healthcare spending is not growing at all. Healthcare systems can only be sustained with significant structural and transformative changes. According to the World Health Organization, healthcare systems need a greater workforce. Although 40 million jobs could be created by the global economy in the health sector by 2030, the World Health Organization projects that there will still be a 9.9 million shortfall in physicians, nurses, and midwives worldwide over the same time period.
Gleecus Whitepaper : Applications of Artificial Intelligence in HealthcareSuprit Patra
In the field of medicine, Artificial Intelligence (AI) goes a long way in strengthening and improvising the communication between Doctors and Patient like never before. The Healthcare industry requires enormous amounts of digitized data to be periodically shared, stored and yet kept secure at the same time. Smart algorithms are powering artificial intelligence (AI) applications in the healthcare sector By enabling intelligent applications to not only speak and listen but also to make decisions in unrivaled ways to nullify human errors.
Read this research paper to know how AI is taking healthcare by storm.
The potential of Artificial Intelligence in Healthcare IndustryDashTechnologiesInc
Artificial intelligence is a topic that, in its most basic form, integrates computer science and substantial datasets to facilitate problem-solving. Moreover, it includes the branches of artificial intelligence known as deep learning and machine learning, which are commonly addressed together.
Changing Medical profession with Artifical Intelligence what it means to us Dr.T.V.Rao MD
•Artificial Intelligence fast penetrating to every system and modality of human living However the implications of Artificial Intelligence is truly different from other professions we should be more aware of the ongoing matters and chose what is good in Human and health care ?
•Dr.T.V.Rao MD
•Former professor of Microbiology
•Adviser and Member Associate Elsevier research Netherlands
Artificial intelligence in healthcare revolutionizing personalized healthcare...Fit Focus Hub
Embark on a groundbreaking journey into the future of healthcare, where Artificial Intelligence (AI) is reshaping the landscape and ushering in a new era of personalized medicine tailored to the unique needs of each individual patient.
Explore the transformative power of AI as it becomes the catalyst for a healthcare revolution that goes beyond one-size-fits-all approaches.
In this illuminating exploration, we delve into how AI technologies are spearheading a paradigm shift in the delivery of healthcare services, putting patients at the center of attention.
Witness how machine learning algorithms analyze vast datasets, encompassing genetic information, medical histories, lifestyle choices, and environmental factors, to unlock insights that guide healthcare providers in crafting precise and personalized treatment plans.
Discover the pivotal role of AI in early disease detection, where predictive analytics and data-driven algorithms contribute to proactive interventions.
By identifying subtle patterns and potential risk factors, AI empowers healthcare professionals to intervene at the earliest stages, often before symptoms manifest, leading to more effective and targeted treatment strategies.
Explore the integration of wearable devices and IoT technologies, allowing for continuous patient monitoring beyond the confines of traditional healthcare settings.
AI-driven remote monitoring ensures real-time data analysis, enabling healthcare providers to make informed decisions and adjustments to individual care plans, promoting a proactive and patient-centric approach to healthcare.
Witness the acceleration of drug discovery and development through AI, as sophisticated algorithms analyze vast datasets to identify potential therapeutic targets and streamline the research and development process.
The result is a more efficient and tailored approach to pharmaceuticals, reducing trial-and-error methods and enhancing treatment outcomes.
Through captivating case studies and real-world examples, gain insights into how AI is optimizing resource allocation, improving patient engagement, and fostering a collaborative ecosystem between healthcare providers and patients.
Embrace the future of healthcare, where the marriage of human expertise and AI-driven insights paves the way for a more personalized, precise, and effective approach to individualized patient care.
Join us on this journey through the transformative impact of Artificial Intelligence in Healthcare, where the promise of personalized medicine becomes a reality, and each patient's unique characteristics guide the way towards a healthier and more tailored future.
Benefits of AI for the Medical Field in 2023.Techugo
AI can assist in medical diagnosis, drug discovery, personalized medicine, and patient monitoring. It can also improve the efficiency of healthcare systems and reduce medical errors.
Here are the Benefits of AI for the Medical Field in 2023 and Beyond.pdfTechugo
A combination of unstoppable forces drives demand: changing patient expectations, population aging, lifestyle changes, and the never-ending innovation cycle are just a few. The implications of an aging population are the most important. One in four North American and European citizens will be 65 years old by 2050
Here are the Benefits of AI for the Medical Field in 2023 and Beyond!.pdfTechugo
Healthcare spending is not growing at all. Healthcare systems can only be sustained with significant structural and transformative changes. According to the World Health Organization, healthcare systems need a greater workforce. Although 40 million jobs could be created by the global economy in the health sector by 2030, the World Health Organization projects that there will still be a 9.9 million shortfall in physicians, nurses, and midwives worldwide over the same time period.
Gleecus Whitepaper : Applications of Artificial Intelligence in HealthcareSuprit Patra
In the field of medicine, Artificial Intelligence (AI) goes a long way in strengthening and improvising the communication between Doctors and Patient like never before. The Healthcare industry requires enormous amounts of digitized data to be periodically shared, stored and yet kept secure at the same time. Smart algorithms are powering artificial intelligence (AI) applications in the healthcare sector By enabling intelligent applications to not only speak and listen but also to make decisions in unrivaled ways to nullify human errors.
Read this research paper to know how AI is taking healthcare by storm.
The potential of Artificial Intelligence in Healthcare IndustryDashTechnologiesInc
Artificial intelligence is a topic that, in its most basic form, integrates computer science and substantial datasets to facilitate problem-solving. Moreover, it includes the branches of artificial intelligence known as deep learning and machine learning, which are commonly addressed together.
Unlock the potential of AI in healthcare with this comprehensive exploration. Dive into the transformative role of artificial intelligence in revolutionizing patient care and medical innovation.
Artificial Intelligence and Machine Learning in HealthcareChristine Shepherd
Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative technologies within the healthcare sector. These advanced computational tools offer the potential to revolutionize medical diagnosis, treatment, and patient care. Through the analysis of vast datasets, AI and ML can identify patterns, make predictions, and assist healthcare professionals in making more informed decisions. Applications range from image recognition in radiology to drug discovery, personalized treatment recommendations, and the enhancement of administrative processes. As these technologies continue to advance, they hold great promise for improving healthcare outcomes and efficiency. However, their implementation also raises ethical, regulatory, and security considerations that must be carefully addressed to ensure their responsible use in healthcare settings.
The Potential for Artificial Intelligence in HealthcareLucy Zeniffer
The Potential for Artificial Intelligence in Healthcare" explores how AI revolutionizes patient care, diagnosis, and treatment. From predictive analytics enhancing early disease detection to personalized medicine tailored to individual genetic profiles, AI offers unprecedented opportunities. It streamlines administrative tasks, augments medical research, and improves patient outcomes, promising a transformative impact on the healthcare industry.
Revolutionizing Healthcare with AI and ChatGPT- Elevating the Game.Techugo
AI and ChatGPT are revolutionizing healthcare, elevating the game to new heights. With their advanced capabilities, medical professionals gain valuable insights, personalized patient care, and faster diagnostics. This transformative technology empowers the healthcare industry, improving outcomes, and paving the way for a brighter and healthier future.
Webinar on AI in Medical Diagnosis with Emerging TechnologiesBIS Research Inc.
Artificial Intelligence (AI) is a rapidly growing field that has the potential to revolutionize the way medical diagnosis is performed. AI systems use advanced algorithms to analyze large amounts of data, such as medical images, patient histories, and lab results, to identify patterns and make predictions about patient outcomes.
In medical diagnosis, AI can be used in a variety of ways, including medical imaging, disease diagnosis, personalized treatment planning, and early disease detection. By leveraging the power of AI, healthcare providers can make faster and more accurate diagnoses, resulting in better patient outcomes.
Agenda:
The main agenda of this webinar is to understand and explore the following:
• Policy implications related to AI and digital transformation in healthcare.
• Initiatives taken and regulations implemented to address cybersecurity concerns.
• Major factors driving and hindering the growth of AI in medical devices diagnosis.
• Major players in the ecosystem
ImageVision_ Blog_ AI in Healthcare Unlocking New Possibilities for Disease D...AppsTek Corp
Healthcare has made massive developments and advancements in recent years, particularly in clinical research, biomedical improvement, digital technology, processes, and systems.
However, it nonetheless faces several complications, together with a lack of healthcare workers at the frontlines, an increase in health disparities between nations with various income levels, and a vast quantity of health spending that has not yielded the favored health outcomes. Artificial Intelligence (AI) has emerged as an approach to deal with these challenges, using technologies such as ML – Machine Learning and DL – Deep Learning.
From disease diagnosis to personalized treatment plans, the integration of AI-powered solutions has shown its capability to change the way healthcare works. The ability to process big volumes of information rapidly and appropriately has created new possibilities for enhancing patient care, lowering prices, and enhancing efficiency in the Healthcare system.
In this blog, we will explore How AI is Transforming Healthcare and its impact on both patients and Healthcare providers. let's first delve into the reasons why Healthcare is adopting AI.
The Role of Artificial Intelligence in Revolutionizing Healthcare A Comprehen...ijtsrd
A breakthrough era that holds enormous promise for increasing patient care, lowering healthcare costs, and improving overall healthcare outcomes has arrived with the integration of Artificial Intelligence AI in healthcare. This in depth analysis examines the several ways in which AI is transforming healthcare, including diagnosis, treatment, drug research, patient management, and administrative procedures. To lay a strong foundation for understanding AI, machine learning, and deep learning applications in healthcare, the examination begins with clarifying their core principles. It explores how AI might be used to analyze large scale, intricate medical datasets including electronic health records EHRs , medical imaging, and genomes, enabling the early detection of disease, precise diagnosis, and tailored therapy recommendations. Additionally, AI driven technologies like natural language processing NLP have demonstrated considerable potential in extracting important insights from unstructured clinical notes and research literature, supporting clinical decision support and medical research. AI powered robotics and automation have also begun to play crucial roles in rehabilitation and minimally invasive surgery, lowering the invasiveness of operations and speeding up patient recovery. The review emphasizes the efforts that are still being made to create AI driven drug discovery systems that hasten the identification of new treatments and enhance the layouts of clinical trials. By examining trends and patterns in healthcare data, it also examines AIs function in predictive analytics, predicting disease outbreaks, and enhancing population health management. Furthermore, in the context of optimizing healthcare operations and lowering administrative duties, the contribution of AI to administrative tasks such as medical billing, fraud detection, and resource allocation is considered. The review emphasizes the significance of privacy, transparency, and responsible AI deployment while highlighting the ethical and regulatory concerns involved with AI in healthcare. In order to fully realize the potential of AI, it also analyzes potential adoption barriers and the necessity of interdisciplinary cooperation between healthcare experts, data scientists, and legislators. In conclusion, this in depth analysis offers a complete overview of how AI is altering healthcare and provides insights into its present successes and potential in the future. This effort intends to spur innovation, educate stakeholders, and open the door for a more effective, patient centered, and accessible healthcare ecosystem by shedding light on the revolutionary effects of AI on healthcare. Kajal Gohane | Roshini S | Komal Pode "The Role of Artificial Intelligence in Revolutionizing Healthcare: A Comprehensive Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-5 , October 2023, URL: https://www.ijtsrd.com/pa
AI in Healthcare Innovative use cases and applications.pdfmahaffeycheryld
AI in healthcare revolutionizes patient care by enhancing diagnostics, personalizing treatments, and improving operational efficiency. Machine learning algorithms analyze vast medical data to predict diseases, optimize treatment plans, and facilitate early intervention. AI-powered tools like chatbots and virtual assistants streamline administrative tasks, while advanced imaging analysis improves accuracy in detecting conditions like cancer. Integrating AI in healthcare not only accelerates research and drug development but also ensures better patient outcomes and reduced healthcare costs. Embrace the future of medicine with AI, driving innovation and transforming the healthcare landscape for a healthier, smarter tomorrow.
https://www.leewayhertz.com/ai-use-cases-in-healthcare/
Artificial Intelligence in Healthcare Future Outlook.pdfSoluLab1231
Artificial Intelligence (AI) has emerged as a transformative force in healthcare, revolutionizing how medical professionals diagnose, treat, and manage patient care. AI is making a significant impact on multiple facets of the healthcare industry:
Enhanced Diagnostics: AI-driven diagnostic tools sift through extensive databases, identifying subtle patterns and anomalies, leading to earlier disease detection and improved patient outcomes.
Personalized Treatment Plans: AI algorithms analyze vast amounts of data to tailor treatment strategies to individual needs, considering factors such as genetics, lifestyle, and medical history.
Virtual Health Assistants: AI-powered virtual health assistants offer real-time symptom analysis, medication reminders, and preliminary health advice, enhancing accessibility to healthcare services and facilitating proactive self-care.
Drug Discovery and Development: AI expedites the drug discovery process by analyzing chemical databases and predicting potential drug candidates, reducing the time and cost associated with traditional drug development.
5 Ways Machine Learning Is Revolutionizing the Healthcare IndustryDashTechnologiesInc
Machine learning is changing the way we live, impacting everything from the tech industry to agriculture, insurance, banking, and even marketing. However, the domain where ML is having the most important impact is healthcare.
ML applications in healthcare combine the processing power of millions of human minds to accelerate and revamp such fields as diagnostics and medicine, changing the way we live and working to increase longevity.
Unlock the potential of AI in healthcare with this comprehensive exploration. Dive into the transformative role of artificial intelligence in revolutionizing patient care and medical innovation.
Artificial Intelligence and Machine Learning in HealthcareChristine Shepherd
Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative technologies within the healthcare sector. These advanced computational tools offer the potential to revolutionize medical diagnosis, treatment, and patient care. Through the analysis of vast datasets, AI and ML can identify patterns, make predictions, and assist healthcare professionals in making more informed decisions. Applications range from image recognition in radiology to drug discovery, personalized treatment recommendations, and the enhancement of administrative processes. As these technologies continue to advance, they hold great promise for improving healthcare outcomes and efficiency. However, their implementation also raises ethical, regulatory, and security considerations that must be carefully addressed to ensure their responsible use in healthcare settings.
The Potential for Artificial Intelligence in HealthcareLucy Zeniffer
The Potential for Artificial Intelligence in Healthcare" explores how AI revolutionizes patient care, diagnosis, and treatment. From predictive analytics enhancing early disease detection to personalized medicine tailored to individual genetic profiles, AI offers unprecedented opportunities. It streamlines administrative tasks, augments medical research, and improves patient outcomes, promising a transformative impact on the healthcare industry.
Revolutionizing Healthcare with AI and ChatGPT- Elevating the Game.Techugo
AI and ChatGPT are revolutionizing healthcare, elevating the game to new heights. With their advanced capabilities, medical professionals gain valuable insights, personalized patient care, and faster diagnostics. This transformative technology empowers the healthcare industry, improving outcomes, and paving the way for a brighter and healthier future.
Webinar on AI in Medical Diagnosis with Emerging TechnologiesBIS Research Inc.
Artificial Intelligence (AI) is a rapidly growing field that has the potential to revolutionize the way medical diagnosis is performed. AI systems use advanced algorithms to analyze large amounts of data, such as medical images, patient histories, and lab results, to identify patterns and make predictions about patient outcomes.
In medical diagnosis, AI can be used in a variety of ways, including medical imaging, disease diagnosis, personalized treatment planning, and early disease detection. By leveraging the power of AI, healthcare providers can make faster and more accurate diagnoses, resulting in better patient outcomes.
Agenda:
The main agenda of this webinar is to understand and explore the following:
• Policy implications related to AI and digital transformation in healthcare.
• Initiatives taken and regulations implemented to address cybersecurity concerns.
• Major factors driving and hindering the growth of AI in medical devices diagnosis.
• Major players in the ecosystem
ImageVision_ Blog_ AI in Healthcare Unlocking New Possibilities for Disease D...AppsTek Corp
Healthcare has made massive developments and advancements in recent years, particularly in clinical research, biomedical improvement, digital technology, processes, and systems.
However, it nonetheless faces several complications, together with a lack of healthcare workers at the frontlines, an increase in health disparities between nations with various income levels, and a vast quantity of health spending that has not yielded the favored health outcomes. Artificial Intelligence (AI) has emerged as an approach to deal with these challenges, using technologies such as ML – Machine Learning and DL – Deep Learning.
From disease diagnosis to personalized treatment plans, the integration of AI-powered solutions has shown its capability to change the way healthcare works. The ability to process big volumes of information rapidly and appropriately has created new possibilities for enhancing patient care, lowering prices, and enhancing efficiency in the Healthcare system.
In this blog, we will explore How AI is Transforming Healthcare and its impact on both patients and Healthcare providers. let's first delve into the reasons why Healthcare is adopting AI.
The Role of Artificial Intelligence in Revolutionizing Healthcare A Comprehen...ijtsrd
A breakthrough era that holds enormous promise for increasing patient care, lowering healthcare costs, and improving overall healthcare outcomes has arrived with the integration of Artificial Intelligence AI in healthcare. This in depth analysis examines the several ways in which AI is transforming healthcare, including diagnosis, treatment, drug research, patient management, and administrative procedures. To lay a strong foundation for understanding AI, machine learning, and deep learning applications in healthcare, the examination begins with clarifying their core principles. It explores how AI might be used to analyze large scale, intricate medical datasets including electronic health records EHRs , medical imaging, and genomes, enabling the early detection of disease, precise diagnosis, and tailored therapy recommendations. Additionally, AI driven technologies like natural language processing NLP have demonstrated considerable potential in extracting important insights from unstructured clinical notes and research literature, supporting clinical decision support and medical research. AI powered robotics and automation have also begun to play crucial roles in rehabilitation and minimally invasive surgery, lowering the invasiveness of operations and speeding up patient recovery. The review emphasizes the efforts that are still being made to create AI driven drug discovery systems that hasten the identification of new treatments and enhance the layouts of clinical trials. By examining trends and patterns in healthcare data, it also examines AIs function in predictive analytics, predicting disease outbreaks, and enhancing population health management. Furthermore, in the context of optimizing healthcare operations and lowering administrative duties, the contribution of AI to administrative tasks such as medical billing, fraud detection, and resource allocation is considered. The review emphasizes the significance of privacy, transparency, and responsible AI deployment while highlighting the ethical and regulatory concerns involved with AI in healthcare. In order to fully realize the potential of AI, it also analyzes potential adoption barriers and the necessity of interdisciplinary cooperation between healthcare experts, data scientists, and legislators. In conclusion, this in depth analysis offers a complete overview of how AI is altering healthcare and provides insights into its present successes and potential in the future. This effort intends to spur innovation, educate stakeholders, and open the door for a more effective, patient centered, and accessible healthcare ecosystem by shedding light on the revolutionary effects of AI on healthcare. Kajal Gohane | Roshini S | Komal Pode "The Role of Artificial Intelligence in Revolutionizing Healthcare: A Comprehensive Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-5 , October 2023, URL: https://www.ijtsrd.com/pa
AI in Healthcare Innovative use cases and applications.pdfmahaffeycheryld
AI in healthcare revolutionizes patient care by enhancing diagnostics, personalizing treatments, and improving operational efficiency. Machine learning algorithms analyze vast medical data to predict diseases, optimize treatment plans, and facilitate early intervention. AI-powered tools like chatbots and virtual assistants streamline administrative tasks, while advanced imaging analysis improves accuracy in detecting conditions like cancer. Integrating AI in healthcare not only accelerates research and drug development but also ensures better patient outcomes and reduced healthcare costs. Embrace the future of medicine with AI, driving innovation and transforming the healthcare landscape for a healthier, smarter tomorrow.
https://www.leewayhertz.com/ai-use-cases-in-healthcare/
Artificial Intelligence in Healthcare Future Outlook.pdfSoluLab1231
Artificial Intelligence (AI) has emerged as a transformative force in healthcare, revolutionizing how medical professionals diagnose, treat, and manage patient care. AI is making a significant impact on multiple facets of the healthcare industry:
Enhanced Diagnostics: AI-driven diagnostic tools sift through extensive databases, identifying subtle patterns and anomalies, leading to earlier disease detection and improved patient outcomes.
Personalized Treatment Plans: AI algorithms analyze vast amounts of data to tailor treatment strategies to individual needs, considering factors such as genetics, lifestyle, and medical history.
Virtual Health Assistants: AI-powered virtual health assistants offer real-time symptom analysis, medication reminders, and preliminary health advice, enhancing accessibility to healthcare services and facilitating proactive self-care.
Drug Discovery and Development: AI expedites the drug discovery process by analyzing chemical databases and predicting potential drug candidates, reducing the time and cost associated with traditional drug development.
5 Ways Machine Learning Is Revolutionizing the Healthcare IndustryDashTechnologiesInc
Machine learning is changing the way we live, impacting everything from the tech industry to agriculture, insurance, banking, and even marketing. However, the domain where ML is having the most important impact is healthcare.
ML applications in healthcare combine the processing power of millions of human minds to accelerate and revamp such fields as diagnostics and medicine, changing the way we live and working to increase longevity.
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
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Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...VarunMahajani
Disruption of blood supply to lung alveoli due to blockage of one or more pulmonary blood vessels is called as Pulmonary thromboembolism. In this presentation we will discuss its causes, types and its management in depth.
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
- WOMEN’S HEALTH: FERTILITY PRESERVATION
- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES?
- ARTIFICIAL INTELLIGENCE AND ETHICS
- GENE THERAPY
- BEYOND BORDERS: GLOBAL INITIATIVES FOR DEMOCRATIZING LIFE SCIENCE TECHNOLOGIES AND PROMOTING ACCESS TO HEALTHCARE
- ETHICAL CHALLENGES IN LIFE SCIENCES
- Prix Galien International Awards Ceremony
The prostate is an exocrine gland of the male mammalian reproductive system
It is a walnut-sized gland that forms part of the male reproductive system and is located in front of the rectum and just below the urinary bladder
Function is to store and secrete a clear, slightly alkaline fluid that constitutes 10-30% of the volume of the seminal fluid that along with the spermatozoa, constitutes semen
A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
It surrounds the urethra just below the urinary bladder. It has anterior, median, posterior and two lateral lobes
It’s work is regulated by androgens which are responsible for male sex characteristics
Generalised disease of the prostate due to hormonal derangement which leads to non malignant enlargement of the gland (increase in the number of epithelial cells and stromal tissue)to cause compression of the urethra leading to symptoms (LUTS
MANAGEMENT OF ATRIOVENTRICULAR CONDUCTION BLOCK.pdfJim Jacob Roy
Cardiac conduction defects can occur due to various causes.
Atrioventricular conduction blocks ( AV blocks ) are classified into 3 types.
This document describes the acute management of AV block.
2. Changing Medical profession with Artifical
Intelligence what it means to us Dr.T.V.Rao MD
• Artificial Intelligence fast
penetrating to every system and
modality of human living However
the implications of Artificial
Intelligence is truly different in
human from other professions we
should be more aware of the
ongoing matters and chose what is
good in Human and health care ?
• Dr.T.V.Rao MD
• Former professor of Microbiology
• Adviser and Member Associate
Elsevier research Netherlands
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 2
3. Information technology most
advancing
science
•Concurrent advances in information technology
infrastructure and mobile computing power in
many low and middle-income countries
(LMICs) have raised hopes that artificial
intelligence (AI) might help to address
challenges unique to the field of global health
and accelerate achievement of the health-
related sustainable development goals
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 3
4. Beginning of Artificial intelligence
• Artificial intelligence (AI) is
the term used to describe the
use of computers and
technology to simulate
intelligent behavior and
critical thinking comparable
to a human being. John
McCarthy first described the
term AI in 1956 as the science
and engineering of making
intelligent machines.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 4
5. Artificial Intelligence can change the
future of Medicine in Practice
• AI promises to change the
practice of medicine in hitherto
unknown ways, but many of its
practical applications are still in
their infancy and need to be
explored and developed better.
Medical professionals also need
to understand and acclimatize
themselves with these advances
for better healthcare delivery to
the masses.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 5
6. Radiology in Most upfront in Artificial
Intelligence
• Radiology is the branch that has
been the most upfront and
welcoming to the use of new
technology. Computers being
initially used in clinical imaging
for administrative work like
image acquisition and storage
to now becoming an
indispensable component of the
work environment with the
origin of picture archiving and
communication system.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 6
7. Why the developing and resource free
countries are in need of Artificial Intelligence
• These challenges, including acute
health workforce shortages and
weak public health surveillance
systems, undermine global
progress towards achieving the
health-related sustainable
development goals (SDGs).
Although not unique to such
countries, these challenges are
particularly relevant given their
contribution to morbidity and
mortality.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 7
8. Accelerating access to AI
• Numerous data are
available to show how AI is
being tested to address
health challenges relevant
to the achievement of
SDGs. Such interventions
include disease specific
applications and those
aimed at strengthening
health systems.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 8
9. Plans to implement AI in Health care
systems
• Many AI health
interventions have
shown promising
preliminary results, and
could soon be used to
augment existing
strategies for delivering
health services in LMICs.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 9
10. Plans to implement AI in Health care
systems
• Helps in disease diagnosis,
where AI powered
interventions could be used in
countries with insufficient
numbers of health providers,
and in risk assessment where
tools based largely on
machine learning could help
to supplement clinical
knowledge.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 10
11. AI is Transforming Procurement in
Healthcare
• The field of artificial intelligence (AI) has made great strides
in recent years, with the technology making its way into
industries as diverse as manufacturing and hospitality. The
next frontier is procurement and supply chain management
in the Healthcare Industry, with AI set to transform the way
companies source their materials and streamline the
operations of their equipment. Some experts predict that
within five years AI will be responsible for over $300 billion
in annual savings, for the healthcare industry alone.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 11
12. Clinical use of AI is increasing
• Healthcare providers are
responsible for ensuring that
AI applications provide useful
technology in support of
patient care. For this reason,
gaining adequate knowledge
and skills regarding AI
applications in medicine is
crucial for medical students,
who may even have to use
applications that did not exist
during their education.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 12
13. Benefits of AI in medicine
• Informed patient care
• integrating medical AI into
clinician workflows can give
providers valuable context
while they're making care
decisions. A trained machine
learning algorithm can help cut
down on research time by
giving clinicians valuable search
results with evidence-based
insights about treatments and
procedures while the patient is
still in the room with them.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 13
14. Helps Error
reduction
• There is some evidence that
AI can help improve patient
safety. A recent systemic
review of 53 peer-reviewed
studies examining the impact
of AI on patient safety found
that AI-powered decision
support tools can help
improve error detection and
drug management.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 14
15. Reducing the costs of
care
• There are a lot of potential
ways AI could reduce costs
across the healthcare
industry. Some of the most
promising opportunities
include reducing medication
errors, customized virtual
health assistance, fraud
prevention, and supporting
more efficient administrative
and clinical workflows.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 15
16. Increasing doctor-patient engagement
• Many patients think of questions outside of typical
business hours. AI can help provide around-the-clock
support through chatbots that can answer basic
questions and give patients resources when their
provider’s office isn’t open. AI could also potentially
be used to triage questions and flag information for
further review, which could help alert providers to
health changes that need additional attention.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 16
17. Providing contextual relevance
•One major advantage of deep learning is that AI
algorithms can use context to distinguish between
different types of information. For example, if a
clinical note includes a list of a patient's current
medications along with a new medication their
provider recommends, a well-trained AI algorithm
can use natural language processing to identify
which medications belong in the patient's medical
history.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 17
18. Improves the matters in Medical
Edcaution
• Understanding how today’s medical student perceives AI in
medicine, what they know and don’t know, and their
comprehension of AI’s ethical dimensions is a crucial first
step to developing effective AI curricula. Kern et al. define
one of the steps of curriculum development as “Needs
Assessment of Targeted Learners”, a process by which
curriculum developers identify the differences between the
ideal and the actual characteristics of the targeted learner
group.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 18
19. Demand for Artifical intelligence is
growing
• there might be a high demand to have AI topics integrated
into the university curricula which should be further
explored . To the best of our knowledge, Wood et al.’s study
with 117 medical students on seven topics is the only one in
the literature that investigated the importance of AI topics
in the eyes of the students. Hence, in this study, we aimed
to examine medical students’ perceptions regarding the
possible influence of AI on medicine and also their thoughts
on the AI topics to be integrated into the medical
curriculum.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 19
20. AI applications in medicine
• There are numerous ways
AI can positively impact the
practice of medicine,
whether it's through
speeding up the pace of
research or helping
clinicians make better
decisions. Here are some
examples of how AI could
be used:
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 20
21. AI in disease detection and
diagnosis
• Unlike humans, AI never needs to sleep. Machine learning
models could be used to observe the vital signs of patients
receiving critical care and alert clinicians if certain risk
factors increase. While medical devices like heart monitors
can track vital signs, AI can collect the data from those
devices and look for more complex conditions, such as
sepsis. One IBM client has developed a predictive AI model
for premature babies that is 75% accurate in detecting
severe sepsis.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 21
22. Personalized disease treatment
• Precision medicine could become easier to support
with virtual AI assistance. Because AI models can
learn and retain preferences, AI has the potential to
provide customized real-time recommendations to
patients around the clock. Rather than having to
repeat information with a new person each time, a
healthcare system could offer patients around-the-
clock access to an
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 22
23. AI can act as your Virtual Assistant
•AI-powered virtual
assistant that could
answer questions
based on the
patient's medical
history,
preferences and
personal needs.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 23
24. Virtual Assistants: Artificial
Intelligence, Real Improvements In
L&D
• The most common
examples of AI we currently
have are virtual assistants.
You know the two big ones
by name: Google Assistant
and Alexa (Amazon). These
are language recognition
systems that learn from
your choices and
preferences.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 24
25. Google Assistant
• “Google Assistant can help
you organize your
meetings and Alexa can
make your shopping easier.
Yet, if you apply these
same pieces of technology
to other purposes, you can
achieve different results”
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 25
26. AI in medical imaging
• AI is already playing a prominent role in medical imaging.
Research has indicated that AI powered by artificial neural
networks can be just as effective as human radiologists at
detecting signs of breast cancer as well as other conditions.
In addition to helping clinicians spot early signs of disease,
AI can also help make the staggering number of medical
images that clinicians have to keep track of more
manageable by detecting vital pieces of a patient's history
and presenting the relevant images to them.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 26
27. Clinical trial efficiency
• A lot of time is spent during
clinical trials assigning medical
codes to patient outcomes and
updating the relevant datasets. AI
can help speed this process up by
providing a quicker and more
intelligent search for medical
codes. Two IBM Watson Health
clients recently found that with AI,
they could reduce their number of
medical code searches by more
than 70%.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 27
28. Accelerated drug development
• Drug discovery is often one of
the longest and most costly
parts of drug development. AI
could help reduce the costs of
developing new medicines in
primarily two ways: creating
better drug designs and
finding promising new drug
combinations. With AI, many
of the big data challenges
facing the life sciences
industry could be overcome.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 28
29. Pros and Cons of Artificial
Intelligence in Healthcare
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 29
30. Pros of Artificial Intelligence in
Healthcare
• .AI makes healthcare
more accessible.
• Unfortunately, many
poor countries continue
to fall behind the rest of
the world in many areas,
and healthcare remains
the most unpleasant for
them.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 30
31. Pros of Artificial Intelligence in
Healthcare
•People living in the
most remote areas are
at risk of dying since it
is nearly hard to
obtain appropriate
medical assistance in
a timely manner.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 31
32. What the WHO says about Artificial
Intelligence
• According to the World Health Organization, unequal
access to health services results in an 18.1-year
difference in life expectancy between the richest and
poorest countries.
Artificial intelligence (AI) can be used to develop a
more efficient healthcare ecosystem. Patients will be
able to better understand their symptoms and receive
the treatment they require with the support of such
digital infrastructure.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 32
33. New applications are already
functional
• Many applications have lately
been developed to improve
the collaboration between
national and international
healthcare institutions in
order to give patients with
immediate support. For
example, the Ada App, which
is based on intelligent
technology and is available in
140 countries, improves
access to medical guidance
for the poor.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 33
34. PROVIDES REAL-TIME
DATA
• Acquiring reliable information
in a timely manner is an
important part of diagnosing
and treating medical problems.
Doctors and other medical
professionals can use AI to use
real-time, precise data to speed
up and improve key therapeutic
decisions. Improved
preventative measures, cost
savings, and patient wait times
can all be achieved by
producing more immediate and
realistic outcomes.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 34
35. improved physician-patient
connections
• improved physician-patient
connections can be aided by
real-time analytics. Patients
can be more engaged in their
treatments if crucial health
data is made available via
mobile devices. Doctors and
nurses can be alerted to
critical changes in patient
status and crises through
mobile alerts.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 35
36. AI-powered techniques aid in the
detection of early disease risks.
• Because AI can collect and store
people’s data in one place, it can
use it to get insight into their past
and current health issues. The
physicians can make a more
accurate diagnosis with such a
comparison of disease details.
Millions of symptoms, diagnoses,
and specific cases have been
accumulated in the health app
database, allowing for the
prediction of future health
problems.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 36
37. RISKS OF ARTIFICIAL
INTELLIGENCE
• Automation-spurred job loss
• Privacy violations
• Deepfakes
• Algorithmic bias caused by bad
data
• Socioeconomic inequality
• Market volatility
• Weapons automatization
•
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 37
38. IS ARTIFICIAL INTELLIGENCE A
THREAT?
• The tech community has long
debated the threats posed by
artificial intelligence.
Automation of jobs, the
spread of fake news and a
dangerous arms race of AI-
powered weaponry have
been mentioned as some of
the biggest dangers posed by
AI.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 38
39. Google helps in use of Artificial
intelligence
• well-known software
program Verily, a
Google product, is
adept at predicting
both communicable
and hereditary genetic
disorders.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 39
40. A I Helps in Fraud Detection
• One way to improve fraud detection is through an artificial
intelligence program called neural network analysis. Through
machine learning, neural networks are able to quickly analyze
large amounts of data and recognize patterns or flags indicative
of criminal behavior. For instance, a company that used a neural
network to scan millions of invoices for signs of fraud, identified
over 1,000 instances where invoice information did not match
what was on file at corporate headquarters. This led to a nearly
50% reduction in overall chargeback rates, within just six
months.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 40
41. Artificial Intelligence helping in
patient care
• .Many apps allow health
professionals to foresee
potential hazards and take
proper precautions now to
avoid them in the future.
Furthermore, predictive
analytics helps healthcare
facilities enhance their
operational management.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 41
42. Future of Artificial Intelligence in
Medicine
•Artificial intelligence
has unimaginable
potential. Within the
next couple of years,
it will revolutionize
every area of our life,
including medicine.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 42
43. Future of Artificial Intelligence in
Medicine
• Artificial intelligence moved
from being a futuristic promise
into a reference point for
innovation. The technology also
started to transform medicine
with great vigor. In the last
couple of years, the number of
A.I.-related studies, research
projects, university courses, and
companies has grown
exponentially, not to speak
about the rapid improvement in
the precision of the technology.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 43
44. What the The Medical Futurist says
• At The Medical Futurist, we are
sure that Artificial Intelligence is
not going to replace medical
professionals; it’s going to be
the stethoscope of the 21st
century and successful
collaboration between humans
and technology could bring us
the positive change in medicine
that we all so strongly wish.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 44
45. Connecting everything and Everyone
• Digital health will give us
more health data than ever
before, and A.I will help us
analyze it to find new ways
to treat diseases, to cut
down on administrative
tasks, to streamline medical
practices, to optimize both
physicians’ and patients’
schedules.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 45
46. What it the Truth TIME WILL PROVE
MANY MATTERS
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 46
47. References
• Overview of artificial intelligence in medicine
• Amisha,1 Paras Malik,1 Monika Pathania,1 and Vyas Kumar Rathaur2
• Author information Article notes Copyright and License information
• What is artificial intelligence in medicine? IBM
• Pros and Cons of Artificial Intelligence in Healthcare Tech Emergent
• Vamstar
• Optimise Tenders and Source Efficiently with Artificial Intelligence
• Google resources on world wide web for benefit of Medical and
Paramedical professionals
• Medical Futurist
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 47
48. •Program file Created by Dr.T.V.Rao MD for benefit of
Medical paramedical students in developing
countries for benefit of implementing the Artificial
Intelligence in Medical Education
•Dr.T.V.Rao MD
• doctortvrao@gmail.com
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 48