1. Recent trends of machine learning in healthcare
Presented by
Mr.A.H.Nandhu Kishore
Assistant Professor / CSE
PSNA College of Engineering and Technology

2. MACHINE LEARNING
A field of computer science that uses statistical techniques to give computer systems the ability to “learn” with data, without being explicitly programmed

3. AI / Machine Learning Trends

4. Benefits of machine intelligence

5. IC / AI – POWERFUL THAN PROCEDURAL PROGRAMMING

6. Fast advancements in ic

7. Cognitive computing

8. top 5 tech trends that can impact Health-care industry
Machine Learning, Analytics & Artificial intelligence - Analytics
Medical cyber theft will continue to rise
Emerging technologies-(3-D printing, robots, drones).
Electronic Health Record improvement – focus on interoperability.
Telemedicine & Personalized (Precision) Medicine goes mainstream.

9. ARTIFICIAL INTELLIGENCE PORTFOLIO

10. TRENDS OF ML IN MEDICAL HEALTH

11. USE OF AI AND ML IN PREDICTIVE ANALYTICS

12. CLINICAL DATA ANALYTICS MODEL
Data understanding
Data preparation
Data modelling
Evaluation.

13. Applications of Machine Learning in Pharma and Medicine
Disease Identification/Diagnosis.
Personalized Treatment/Behavioural Modification.
Drug Discovery/Manufacturing.
Clinical Trial Research.
Radiology and Radiotherapy
Smart Electronic Health Records
Epidemic Outbreak Prediction

14. Role of ml in various industries

15. Applications of ml in healthcare

16. Summary / Key Takeaways31
Steps to Intelligent Computing / AI /ML Success
Satisfaction
Focus on the advantages of intelligent computing – these systems should be viewed as assistants, not threats
Graphic
Combine the experience, knowledge, and human touch of clinicians with the power of intelligent computing to achieve more than either alone
Treatment/Clinical
Use intelligent computing to tackle the complexity and expanse of new data sources to push the boundaries of precision medicine and population health
Electronic
Information/Data
Use Intelligent Computing to provide higher levels of patient engagement and education, such as adaptive, personalized response and gaming
Prevention and Patient
Education
Use IC to reduce labor costs, increase consistency, discover new clinical knowledge, and offer scalable return on investment for value- and risk-based care
Savings

17. discussion

18. Audience Response Polling Question 1
Where will IC/AI in HC will have the greatest impact? a. b. c. d.
Internet of Things
Decision Support/Diagnosis Robotics and Smart Devices Analytics

19. Audience Response Polling Question 2
What is the largest barrier to IC / AI / ML in healthcare? a. b. c. d.
Technical
Clinical complexity Costs, skills
Regulation, legal, ethical

20. Audience Response Polling Question 3
Do you welcome IC / AI / ML or do your fear it? a. b. c. d.
Fear it will be our downfall Concerned – highly cautious Excited by it – welcome it Love it – humanity’s savior

21. Thank You