AI Doctor - Future of Integrative Medicine with Deep Learning and Artificial Intelligence

Future of Health Technology Institute - FHTI
Happier, Longer Lives™
Future of Health Technology Institutewww.futureofhealth.org www.fhti.org© 2016, FHTI.
Future of Integrative Medicine with
Deep Learning / Artificial Intelligence
May 13, 2017, New York
3rd East-West Integrative Medical for Immunology &
Wellness - Practice, Science, & Technology
Renata Bushko, Bushko@fhti.org @FutureofHealth,
https://twitter.com/FutureofHealth
https://www.youtube.com/user/FutureofHealthTech

Future of Health Technology Institute (FHTI) @FutureofHealth FutureofHealth.org fhti.org
Happier, Longer Lives ™
@RenataBushko bushko@fhti.org Future of Health Technology Institute (FHTI)© 1996-2017 FHTI. All Rights Reserved.
Future of Health Technology Institute (FHTI)
Brings Together Creative Minds since 1996 to:
 Stop disease before it even begins
 Stop suffering before tears occur
 Stop symptoms before they hurt
 Stop medical errors and aging before they kill
 Stop Cyborgs before….they control us….
Future of Health Technology Institute tries to achieve this by:
 Fostering ideas-exchange
 Promoting scientists with breakthrough-ideas
 Developing World Health Strategy
 Thinking about long-term global future
 Translating research into health products
 Empowering consumers
 Encouraging investments in health
 https://www.youtube.com/watch?v=dPN2gTslyoA

World Health Strategy eBook ED. Renata G. Bushko
1. Big Questions in the Future of Health – Overview
2. Future of Medicine and Global Health
Ramesh Raskar, Xing Jijun, Michael Gillam, Chris Gibbons, Guergana Savova, Joseph Kvedar, Gary
Kreps, Nick van Terheyden, Renata Bushko
3. Consumer Empowerment Era - Self-care
4. Big Data and Analytics in Health
5. Future of Brain’s Health
6. From Artificial Intelligence to Intelligent Health
7. Future of Drugs and Pharmacology
8. Future of Regenerative Medicine
9. Future of Mental Health and Happiness
10. Future of Pain Management
11. Future of Computing
12. Healing Plants and Modern Science
Xiu-Min Li, Jing-Ke Weng, Mariana Castells, Barbara Winston, Henry Ehrlich, Renna Bushko
13. Future of Surgery, Pathology and Medical Devices
14. Selected Future Health Challenges
15. Caring Emotional Machines and Avatars
16. Investment in Health and Commercialization
17. Future of NanoMedicine
18. Fashion as Future of Health Technology
19. Future of Healthy Cities and Transportation
20. Connection Science – Mobile Social Networks
21. Unite Science, Art, Technology and Medicine
http://futureofhealth.org/
“Magnificent book with rich contents. I am impressed by
the wide range of topics – all important to form a strategic
vision of the future.”
PD Dr. med. Urs-Vito Albrecht, MPH, Deputy Director PI
PLRIMedAppLab, Hannover Medical School
“Renata’s strategic thinking in "World Health Strategy"
eBook is right on target. Invaluable resource for healthcare
decision makers and investors.”
Alex (Sandy) Pentland MIT, US, World Economic Forum

Integrative Medicine Power in Patients’ Hands - Democratization
Free mobile app downloads exceed 40 billion in 2012. Global Massive Health App Development by 2020
© 2011, Northeastern University
Western
Medicine
Traditional
Chinese
Medicine
Doctor of the Future
Automatic question
answering and Artificial
Intelligence - based
Health Avatar/App

2016 JAMA publication by Google Brain
Deep learning program can diagnose a cause of blindness from retina images
as well as doctor.
436 | NATURE | VOL 521 | 28 MAY 2015 REVIEW
Deep learning Yann LeCun, Yoshua Bengio & Geoffrey Hinton
Proc. Advances in Neural Information Processing Systems 25 1090–1098,
2012. ImageNet classification with deep convolutional neural networks.
Krizhevsky, A., Sutskever, I. & Hinton, G.
This report was a breakthrough that used convolutional nets to almost halve the error rate for object
recognition, and precipitated the rapid adoption of deep learning by the computer vision community.
Nature 2016 Deep Mind publications on:
AlphaGo defeats human in the ancient game of Go
Neural network with memory can adapt to new tasks and can recognize new objects from just one
picture. E.g. can recognize a dog after seeing it just once.
Nvidia’s latest AI Chip = Tesla V100
The First Deep Learning Paper Ever in JAMA
Journal of American Medical Association in Dec 2016

 First AI Personal Health Assistant
 Basic triage on patients by
 UK National Health Services
 AI assures all information is personalized
(age, gender, location, time of the year)
 9.5 Million sessions
 Good performance in head-to-head
comparison with nurses
(asking similar questions, coming to same conclusions)
“The app typifies a new approach to mobile health.. It is intelligent, personalized, and gets cleverer as it
gets data from its users.” The Economist
Power in Patients’ Hands – Your.MD http://www.your.md

“With Melody, our goal is to provide patients with an online experience that is close to a human conversation. We believe this
natural type of interaction will help patients feel more comfortable with their doctors and result in a more beneficial patient-doctor
relationship.” Wei Fan, senior director in Baidu’s Big Data Lab
 “The new AI-based medical assistant functionality in Baidu Doctor will increase doctor productivity and enable patients to get
quicker answers to their health-related questions,” Zheng Li, General Manager, Baidu Medical Services Business Unit.
 Designed to provide relevant information to doctors to assist with recommendation and treatment options.
 Based on deep learning and natural language processing.. Integrated with Baidu Doctor release in 2015.
 https://www.theverge.com/2016/10/11/13240434/baidu-medical-chatbot-china-melody
 http://research.baidu.com/baidus-melody-ai-powered-conversational-bot-doctors-patients/
Melody - Baidu AI Conversational Bot for Doctors and Patients
Melody is built into the Baidu’s iOS and
Android Baidu Doctor app, launched in China
in 2015.
Baidu Doctor allows users to contact local
doctors, book appointments, and ask questions,
with the chatbot intended to speed up this
process.

Power in Patients’ and Physician’s Hands – IBM Watson
 IBM Watson analyzes medical literature and clinical records to provide insights
and treatment options to physicians. Reads 100,000 academic papers in
seconds!
 Watson Oncology is a cognitive computing system supporting oncology
physicians as they consider treatment options with their patients.
 Memorial Sloan Kettering clinicians train Watson Oncology to interpret cancer
patients’ clinical information and identify individualized, evidence-based
treatment options that leverage specialists’ decades of experience.
 “Once Watson for Oncology has the patient's information, it can instantly sort through medical literature from all
over the world, find the literature that is most relevant to that patient's specific cancer, and prioritize potential
treatment options based on the evidence and the patient's health record.
 With the use of its different APIs, the system can also read radiological data, hand-written notes, identify images in
specific terms (i.e. being able to identify a particular patient's hand by recognizing distinguishing features), and has
voice recognition ability. It also understands context. If Watson is ingesting a breast cancer patient and it reads in
the notes that the patient's sister had a mastectomy, Watson knows that's an indication of family history even
though the word ‘family' may not appear,” said Merkel, IBM CEO
esearc
 Hangzhou CognitiveCare will introduce IBM Watson for Oncology to hospitals
in China (21 hospitals to start)

Babylon puts AI Doctor in your pocket, Ali Parsa, founder and CEO of Babylon
Babylon's aim is to build the world's most advanced AI platform in healthcare,
support medical diagnosis, and predict personalized health outcomes
globally.
Cooperation with the NHS in January 2017 on a trial project to use AI doctor
used to power the NHS 111 app, available to a million London residents.
Londoners will be able to type their symptoms into an app instead of calling a
human to describe their health problems over a phone.
The app will then provide advice to the person on what to do next.
In the UK, call with a primary doctor starts at £25; calls with a specialist cost
more or Babylon users can pay £5 a month for a subscription. In Rwanda
(450,000 users) 50p for a consultation.
Plans for Comprehensive AI Platform by Babylon - $60 Million
https://www.babylonhealth.com/

Stephen Weng, University of Nottingham UK
Based on 2005 medical records predict cardiac events in 2015 with AI
Compare with real records from 2015
Neural Networks trained on 378,256 medical records
correctly predicted 7.6% more cardiac events than ACA/AHA
guidelines method.
It raised 1.6% fewer false alarms.
In the test samples of 83,000 records it amounts to 355 lives that could
have been saved
AI predicts heart attacks better than doctors – 20 more variables
considered showing complexity

A. Clinical Ontology C. Genomic OntologyB. Phenotype Ontology
Advanced AI - Machine Learning with Clinical, Phenotype and
Gene Ontology can discover new diseases, predict disease
possible onset, and clinical outcomes better than humans
World Health Strategy eBook futureofhealth.org Tom Chittenden Ph.D., D.Phil.. https://youtu.be/rZ9h-mokXSU
Founding Director, Advanced Artificial Intelligence Research Laboratory, WuXi NextCODE Genomics

By 2018, machine learning (AI) will have been incorporated into
almost half of all Apps developed,
By 2020 savings from AI will be about $60 billion for U.S. companies.
(according to IDC)
Sophia - robot, created by Dr. David
Hanson, Hanson Robotics,
humanlike robots with greater-than-
human wisdom, that are capable of
developing a deep, trusted
relationship with people.”
http://www.geminoid.jp/en/index.html
http://boston.crains.com/article/news/can-your-phone-count-calories-boston-
company-takes-ai-food-
photos?utm_source=natlnewsletter&utm_medium=email&utm_content=boston
&utm_campaign=Boston_20160930_0810

Accelerate Uncovering TCM’s Scientific Bases with new tools:
When Google Glass Meets Organs-on-Chips – 20th FHTI Project Recognition
Y. Shrike Zhang in World Health Strategy, eBook www.futureofhealth.org
© Wyss Institute
Expansion Microscopy with swell-able polymers - Ed Boyden
Boyden Lab, MIT - Tissue sample swell to 4.5 times its size – it makes features of
brain cells visible under conventional microscopes.
https://www.bostonglobe.com/news/science/2015/01/15/instead-zooming-mit-scientists-blow-
brain-cells/ahqpkctFFKJsER5xcNEQXO/story.html
Autopatching enables in vivo intracellular investigations. Nature-Protocols
11, 634–654, March 2016
http://www.nature.com/nprot/journal/v11/n4/full/nprot.2016.007.html

Join Artificial
Intelligence
Integrative
Medicine
Revolution
$55 Billion Digital
Health Market
“Using algorithms
and computers
to figure out
Increasingly
Complex tasks.”
10/2016 Wired Magazine
95+ Health AI startup
companies
AI
© 2017, FHTI, Renata Bushko, Xiu-Min Li,
Barbara Winston at 20th FHTI Summit

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AI Doctor - Future of Integrative Medicine with Deep Learning and Artificial Intelligence