This document discusses how artificial intelligence could change healthcare. It notes that improvements in machine learning, access to large amounts of patient data from mobile devices, and decreasing costs of computing power are enabling new applications of AI in healthcare. These include using AI to better predict drug outcomes and patient responses, confirm medication adherence, help develop new drugs, and provide cognitive assistance to Alzheimer's patients. However, the document also notes regulatory challenges will need to be addressed as AI applications in healthcare expand.

1. Will Artificial Intelligence
Change Healthcare?
Eugene Borukhovich
SVP Healthcare
@HealthEugene

2. Credit: Jurjen Söhne @juris_tweets

3. Credit: Jurjen Söhne @juris_tweets

5. Credit: Jurjen Söhne @juris_tweets

6. Intelligence Exhibited by machines
Reasoning & Knowledge
Planning & Learning
Natural Language Processing
Perception & Object Manipulations

7. Creation of data assets
Over 2B mobile devices
Cost of compute & storage
Improvements in learning systems
Perception & Object Manipulations
E-Commerce
Banking
Search Engines
Entertainment

8. Creation of data assets
Over 2B mobile devices
Cost of compute & storage
Improvements in learning systems

9. Artificial Intelligence, Real Money
Total venture capital money for pure AI startups, by year
Data: CB Insights

10. Artificial Intelligence in Healthcare
Data: CB Insights

11. Machine Learning
Systems Neuroscience

13. Emotion Recognition (Emotient)

17. AI to predict drug
resistance
Peter Rogan of the University of
Western Ontario reports that artificial
intelligence is a powerful tool to
predict drug outcomes because it
looks at the sum of all the
interacting genes.

18. US startup AiCure uses artificial
intelligence on patient’s mobile
devices to confirm medication
ingestion support in clinical trials and
high-risk populations.
“Did you take your pill?”
How AI could support
medication adherence

19. AI for smarter drug
development
As a result of joint efforts of IBM,
Johnson & Johnson, and Sanofi, IBM
Watson Discovery Advisor could help
doctors to match a drug with the
right set of patients in order to
maximize effectiveness and minimize
side effects.

20. Assisted cognition systems explored
by Department of Computer Science
& Engineering University of
Washington, are considered to make
use of AI technology to replace
some of the memory and problem-
solving abilities that have been lost
by an Alzheimer’s patient.
AI for Alzheimer’s Patients

21. With IoT applications quickly
reaching a limit of what could be
done with all the data collected,
machine-learning systems are
adapting to handle larger capacities
of incoming data
AI for Wearable Health

22. Over 2M women
Wearables

23. Regulations
Credit: Matthew Scherer’s article ‘Regulating Artificial Intelligence Systems’.

24. “Difficult is what takes a little time;
the impossible is what take a little longer”
- Fridtjof Nansen, 1922

25. @HealthEugene