Artificial intelligence has great potential to revolutionize healthcare. It can help predict ICU transfers and hospital readmissions by identifying at-risk patients from their medical data. AI is also used in medical testing through new methods like bloodless blood testing using smartphone ECGs. It improves clinical workflows by reducing physician burnout through tools like vein finders. AI helps prevent infections by monitoring patients for early signs of sepsis or other healthcare-acquired infections. During the COVID-19 pandemic, AI has assisted with tracking and forecasting outbreaks, diagnosing patients, processing health claims, and developing new drugs to treat the virus.

1. ARTIFICIAL
INTELLIGENCE
(AI) & HEALTH
CARE
Prepared by:
Mr.NIKHIL RAJ
Associate Professor

2. Introduction
 Artificial intelligence has an unimaginable potential. Within in the
next couple of years, it will revolutionize every area of our life,
including medicine. It will redesign healthcare completely and for
the better. We are going to experience the Fourth industrial
Revolution.ie
1. Steam Power
2. Automobile
3. Computer
4. ARTIFICIAL INTELLIGENCE (A.I)

3. What is mean by A.I
 “Every aspects of learning or any other features of intelligence
can in principle be so precisely described that a machine can be
made to stimulate it. An attempts will be made to find how to
make machines use language, form abstractions and concepts,
solve kinds of problems now reserved for humans, and improve
themselves.
 It is branch of computer science

4. History of A.I
 The field of A.I Research was born at a workshop at Dartmouth college
in 1956
 Attendees.
 Allen New ell
 Herbert Simon
 John Mc Carthy
 Marvin Minsk’s
 Arthur Samuel
 become the founders and leaders of A.I Research.

5. Branches of AI
 Speech recognition.
 Natural language programming.
 Robotics.
 Computer vision.
 Pattern recognition.
 Machine learning.

6. Speech recognition
 It is the ability of a machine or program to identify words and
phrases in spoken language and convert them to a Machine-
readable format.
 Ex.
 Google Docs voice typing
 Apple Dictation
 Windows speech recognition.

7. Natural language programming
 N.L.P is an ontology-assisted way of programming in terms of
natural language sentences
 Natural language processing is a sub field of computer science,
information engineering, and artificial intelligence concerned
with the interactions between computers and human languages
 Applications of NLP:-
 Speech Recognition.
 Sentimental analysis.
 Machine translation.
 Chat boats

8. Robotics
 It is an interdisciplinary branch of engineering and science
 These technologies are used to develop machines that can
substitute for humans and replicate human actions.
 Ex. Hanson robotics “SOPHIA”.
 Mayfield robotics “KURI”.
 Soni robotics “AIBO”.

9. “SOPHIA”

10. Computer Vision
 Computer vision is the science and technology of machines that
see.
 Interpret and understand information in images or video.

11. Pattern Recognition
 Pattern recognition is the ability to detect arrangements of
characteristics or data that yield information about a given system
or data set.

12. Machine learning
 Machine learning is an application of artificial intelligence (AI) that provides
systems the ability to automatically learn and improve from experience without
being programmed.

13.  Machine learning(Deep learning)
 Techniques:-
 Supervisory learning.
 Unsupervised learning.
 Reinforcements learning.

14. Uses of AI in Health care settings
 Predicting ICU Transfers.
 Medical Testing.
 Improving Clinical workflow.
 Predicting HAI
 Predicting Hospital readmission.
 Sepsis prevention.

15. Predicting ICU Transfers.
 Studies show that patients who undergo an unplanned
transfer to the ICU Experience worse outcomes than
patients admitted directly.
 A.I models can be used to find patients who are likely to
crash.The machine learning models use patient medical
records, laboratory results, and vital signs from patient to
find early warning signals.

16. Predicting ICU Transfers

17. Medical Testing.
 Bloodless blood test:-
 A new way of detecting fluctuations of blood posttasium
levels that patients could easily perform at home without
drawing blood.
 Method:–
 Smartphone technology in combination with algorithmic
analysis of ECG recordings.

18. ECG Variations showing in 🍏 ⌚️

19. Bloodless Revolution in Diabetes Monitoring

20. A.I in Drug Study 📖

21. Improving Clinical workflow
 According to a2019 Medscape National Physician 👨⚕️
Burnout, depression & suicide Report,
 Burnout-44%
 Depression-11%

22. ACCU VEIN- VEIN VIEWER.

23. Predicting. HAI.
 Infection control with “MONI”
 Monitoring of nosocomial infections.
 MONI is an intelligent tool for detection and surveillance
of health care-associated infections in intensive care
medicine.
 It is linked with the medical documentation systems of a
health care institution and automatically imports
electronic clinical and laboratory raw data to process it
into surveillance information.

24. MONITORING OF NOSOCOMIAL INFECTION (MONI)

25. Sepsis prevention.
 Hospital Corporation of America (HCA) healthcare has
used its sepsis prediction and optimization of therapy tool
(SPOT)
 SPOT is designed to monitor available data every moment
of every day, and when combinations of lab data that are
consistent with sepsis are detected, the system responds
by alerting clinicians so they can more quickly intervene
with potentially life saving treatment for you or your
loved one.

26. Managing medical records and other
data
 Data management is the most widely used application of
artificial intelligence and digital automation, robots
collect, store, re- format, and trace data to provide
faster, more consistent access.

27. Doing repetitive jobs
 Analyzing tests, X-Rays, C T scans, data entry, and other
tasks can all be done faster and more accurately by
robots.
 Cardiology and Radiology are two disciplines where the
amount of data to analyze can be overwhelming and time
consuming.
 The cardiologists and radiologists in future should only
look only most complicated cases where human
supervision is useful.

28. COVID-19 and ARTIFICIAL INTELLIGENCE
 AI to identify,track. and forecast outbreaks.
 AI to help diagnose the Virus ex Alibababa- AI powered
giagnose system.
 Process health care claims.
 Drones deliver medical supplies.
 Robots sterilize, deliver food and supplies and perform
other task

29.  Develop drugs.
 Ex. Googles deep mind( to study the proteins that make
up the virus)
 Ex.BenevolentAI ( to build drugs)

30.  AI to identify non- compliance or infected individuals
 Ex China‘s sophisticated surveillance system used facial
recognition technology and temperature detection
software from SENSE TIME.
 Smart helmet.
 Health code( monitoring system)