Advances in artificial intelligence is slowly redefining the patient physician interactions. But will humans ever trust technology with their bodies?

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

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

3. 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

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

5. Artificial Intelligence, Real Money
Total venture capital money for pure AI startups, by year
Data: CB Insights
2015
• Over 300 deals
• 33 M&A Transactions
• 1 IPO
• ~5% of total VC funding

6. Machine Learning
Systems Neuroscience

8. Emotion Recognition (Emotient)

11. AI to predict drug
resistance
Could AI predict healthcare
outcomes? A research 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.

12. 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

13. 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.

14. 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

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

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

17. Yes!
Eugene Borukhovich
SVP Healthcare
@HealthEugene