Application of ai in healthcare

Application of Artificial
Intelligence
in Health care of IT Industry
NAME : SHUBHAM GUPTA
UNIVERSITY ROLL:12000221054
BRANCH: INFORMATION TECHNOLOGY

GA1 (Engineering Knowledge):
Apply the knowledge of A) mathematics, B) science,
engineering C) fundamentals, and an engineering D)
specialization (IT) for the solution of complex engineering
problems.

Point 1 related to GA1 & AI in Health Care
Machine learning is one of the most common forms of artificial intelligence in healthcare. PathAI develops
machine learning technology to assist pathologists in making more accurate diagnoses

Point 2 related to GA1 & Application of AI in Healthcare
Deep learning can analyze electronic health records (EHR) that contain structured and unstructured data, including
clinical notes, laboratory test results, diagnosis, and medications at exceptional speeds with the most possible accuracy.

Natural Language Processing
• Making sense of human language has been a goal of artificial intelligence and healthcare technology for over
50 years. Most NLP systems include forms of speech recognition or text analysis and then translation.
• NLP systems can analyze unstructured clinical notes on patients, giving incredible insight into understanding
quality, improving methods, and better results for patients.

Robotic Process Automation in the medical field are transforming how surgeries are performed, streamlining supply
delivery and disinfection, and enabling providers to focus on engaging with and caring for patients.

AI sensors to track a patient’s movements so that providers and caregivers can be notified of potential falls.

GA2 (Problem analysis):
:
A) Identify, B) formulate, C) research literature, and D)
analyze complex engineering problems reaching
substantiated conclusions using first principles of
mathematics, natural sciences, and engineering sciences.

AI can solve Monitoring your health using solutions that gather and analyze data is much easier than trying to figure
out how many minutes a day, on average, you move and when you last went for a jog.

AI used in Robot-assisted surgery allows for better physician precision and can lead to a 21% reduction in the
length of patient’s post-operation hospital stay.

Virtual Assistants for Nursing:
AI also work in Nursing by using AI Virtual Nurses can reduce the number of unnecessary hospital visits, which is
beneficial to both the doctors and the patients.

Early detection of ailments: AI can diagnose skin cancer more accurately than experts. AI has been trained using
images of skin and the corresponding diagnose. Machine has achieved 95% detection rate however human doctors got
87% of the diagnosis correct. It could reduce the wait time for the patient who need surgery.

Cyber security: AI also protect from cyberattack in Hosiptal data.The healthcare sector is easily hacked by cyber
attacks. To avoid down-times and data breaches, healthcare organization are stepping into AI-powered security.

GA3 (Design/ development of solutions):
Design solutions for complex engineering problems and
design system components or processes that meet the
specified needs with appropriate consideration for A) public
health and B) safety, and C) cultural, D) societal, and E)
environmental considerations.

 Google Health App:
Google Health was established in 2006 to provide Personal Health Record(PHR) services by connecting to Patient and
doctor.It is also used in health monitoring for patient as well as normal person.

 Enlitic Software:
• It builds AI deep learning technology for streaming radiologists’workflow and upgrades healthcare diagnoses.
• It also helps radiologists and surgery identify diseases and other medical issues more accurately.

 Virtual Nursing Assistants
Virtual nurses like the Babylon app uses AI in an interactive symptoms checker to provide medical care by asking
questions and analyses the answers, assesses known symptoms and risk factors to provide informed, up-to-date medical
information.

 AI Babylon Health :
• Babylon Health helps to solve a wide range of healthcare challenges with Artificial Intelligence.
• Their AI technology can understand and recognize the unique ways humans expressing their symptoms.

Monarch by Auris Health considered the world’s most advanced surgical robot, lets the doctors perform a variety of
procedures with greater flexibility and control than the conventional approaches can offer which has robotic limbs
with surgical instruments attached to them and provides a high-definition, magnified, 3D view of the surgical site.

GA4 (Conduct investigations of complex problems):
Use research-based knowledge and research methods
including design of experiments, analysis and interpretation
of data, and synthesis of the information to provide valid
conclusions.

Google Health is committed to helping everyone, everywhere be healthier through products and services that connect and
bring meaning to health information upto 98% accuracy. We’re building products to empower people with the information
they need to act on their health.

According to Healthcare IT News, 63% of research accepted that top ai healthcare companies have been benefited
already by providing excellent value in specialties like radiology, generic pharmacy, and pathology. The healthcare
market is experiencing rapid growth, and the global market size for artificial intelligence in healthcare would reach USD
28 billion in 2025.

According to Syneos Health Communications, 64% of patients reported they would be comfortable with AI virtual
nurse assistants, reducing the number of unnecessary hospital visits, listing 24/7 access to answers and support, round-
the-clock monitoring, and the ability to get quick answers to questions about medications.

In a robotic procedure, the pre-op medical record are integrated with real-time operating metrics to improve the
outcomes which allows for better physician precision and can lead to a 21% reduction in the length of patient’s post-
operation hospital stay.

We’re re-engineering how people engage with their care at every step of the healthcare continuum. And we aim to do this
by flipping the model from reactive sick care to preventative healthcare, through the devices people already own. Today,
we serve over 24 million people across the world.

GA5 (Modern tool usage):
A) Create, B) select, and C) apply appropriate techniques,
resources, and modern engineering and IT tools including
prediction and modeling to complex engineering activities
with an understanding of the limitations.

Google health using Cloud Healthcare API to monitoring the patient data and doctor information.

Enlitic develops deep learning medical tools to streamline radiology diagnoses. The company’s deep learning platform
analyzes unstructured medical data – radiology images, blood tests, EKGs, genomics, patient medical history – to give
doctors better insight into a patient’s real-time needs.

AI Virtual Nurses using NLP systems Natural Virtual Reality (VR) which is basically the use of computer technology to
create an interactive three-dimensional (3D) world, which gives users a sense of spatial presence and also teach the
software many nursing concepts including leadership, communication, decision-making, critical thinking, inclusivity,
health appraisal, and disaster triage.

AI sensors and deep learning concept to track a patient’s movements so that providers and caregivers can be notified of
potential falls.

The Computed-Assisted Physician Documentation is based on Computer Assisted Coding (CAC) that uses Natural
language processing (NLP) technology that can analyze and interpret unstructured healthcare data using specialized
algorithms, extracting the facts that support the codes assigned.

Acknowledgements
In the accomplishment of completion of my project on Application of Artificial
Intelligence In Healthcare,
I would like to convey my special gratitude to Dr. Debaprasad Mukherjee of Dr. B. C. Roy
Engineering College whose valuable guidance and suggestions helped me in various
phases of the completion of this project.
I would also like to thank my friends for helping me with different ideas to include in this
project and my family for believing in me and always supporting me throughout.

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