This document summarizes research on artificial intelligence (AI) and virtual reality (VR) in healthcare. It finds growing momentum and investment in both areas. For AI, focus is on predictive diagnosis and personalized treatment using machine learning. For VR, focus is on training, mental healthcare and pain reduction. Major players driving innovation include Intel, Alphabet and startups receiving funding. Both AI and VR are converging with other technologies to transform various aspects of healthcare.

1. Research Summary
Ar.ficial Intelligence & Virtual Reality
in Health: What’s Now, What’s Next
September 2017

2. Contents
About Enspektos Research Strategy
Research
Outputs
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3. The Digital Health Maven Project
Launched in 2014 by Enspektos, the Project
(digitalhealthmaven.com) provides education, research,
technology and other resources to those seeking to
drive digital health innovation globally.
About Enspektos and the Digital Health Maven Project
Enspektos
Enspektos (enspektos.com) is a globally respected
innovation consultancy delivering health-focused
original research, unique technologies and non-
obvious insights to executives, entrepreneurs,
governments and others.

4. This Research Was First Introduced At future::present
future::present is a unique breakfast event series
focused on delivering research, insights, advice and
strategies that help attendees understand and
implement bleeding edge technologies in health.

5. Research Author
Fard Johnmar
(fardjohnmar.com)
Futurist | Strategist | Researcher | Inventor
Fard is a nearly 20-year global health veteran and has spent
more than 12 in the digital health arena. He has advised
executives, entrepreneurs, medical professionals and others
focused on developing groundbreaking digital health tools,
technologies, products and services at startups and large
organizations like Humana, Novartis, Johnson & Johnson
Sanofi, the CDC and the Canadian government. Fard is the
co-author of the #1 global bestseller, ePatient 2015: 15
SurprisingTrends Changing Healthcare, which explores the
impact of digital technologies on health and well-being.

6. Contents
About Enspektos Research Strategy
Research
Outputs
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7. Research Method
Scope Momentum
$
InvestmentsConnections
Health Technology Ecosystem
Analysis Strategy: 4 Areas of Focus
This research was conducted using
the unique Health Technology
Ecosystem Analysis
methodology. Developed by Fard
Johnmar, it involves focusing
systematically on four key areas that
define the relevance and impact of
health technology ecosystems.

8. Focus Area I: Key Scope QuesFons
Scope
What is the innovation?
Where globally is the
innovation being used?
What diseases are key areas of focus?
Who (or what) is driving innovation?

9. Focus Area II: Key Momentum QuesFon
Momentum
Is innovation attention
and activity rising or falling?

10. Focus Area III: Key Investment QuesFons
Are investors putting more or less
money into this innovation area?
Are governments and others investing
human and other types of capital?
$
Investments

11. Focus Area IV: Key ConnecFons QuesFons
Connections
How are the links between
companies, technologies
and other factors influencing
innovation evolution?

12. This Report Features Data from the DigiHealth Informer PlaJorm
DigiHealth Informer (www.digihealthinformer.com):This
market research platform collects and “reads” large amounts of text-
based data.This data can help you automatically generate in-depth
market research summaries and reports in seconds rather than days.
Scope Momentum
$
InvestmentsConnections
Health Technology Ecosystem
Analysis Strategy: 4 Areas of Focus

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14. Contents
About Enspektos Research Strategy
Research
Outputs
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15. Exploring the Healthcare ArFficial Intelligence Ecosystem
Image Source: Many Wonderful Artists, Flickr

16. Exploring the Healthcare ArFficial Intelligence Ecosystem
Scope
AI’s Purpose: Enable machines to complete tasks
that are either at — or beyond — human capacity.

17. Exploring the Healthcare ArFficial Intelligence Ecosystem
Scope
We’re using AI for many things, but major
tasks include:
Event prediction:What’s most statistically likely to
happen?
Content classification: Is this X,Y or Z (or a
combination), etc.?

18. Major Components of the AI Technology Stack
Scope AI
Natural
Language
Processing
Machine
Learning
Data Cleaning
& Analy.cs
Deep
Learning
Neural
Networks
Image and
Audio
Processing

19. AI in Healthcare: Key Things We Are Trying to Achieve
Predict and Prevent Illness
Make Drugs (BeQer)
Diagnose Disease (Earlier)
Manage Health Condi.ons
Scope

20. AI in Healthcare Time-lapse: Global InnovaFon Diffusion
Scope
2015: Countries Referenced in Articles Featuring Keywords:‘Artificial Intelligence Healthcare’
Source: DigiHealth Informer, Based on analysis of English-language text-based data

21. AI in Healthcare Time-lapse: Global InnovaFon Diffusion
Scope
2016: Countries Referenced in Articles Featuring Keywords:‘Artificial Intelligence Healthcare’
Source: DigiHealth Informer, Based on analysis of English-language text-based data

22. AI in Healthcare Time-lapse: Global InnovaFon Diffusion
Scope
2017: Countries Referenced in Articles Featuring Keywords:‘Artificial Intelligence Healthcare’
Source: DigiHealth Informer, Based on analysis of English-language text-based data

23. AI in Healthcare: Key Disease Areas of Focus: 2017
Scope
Top 5 Diseases Referenced in Articles Featuring Keywords:‘Artificial Intelligence Healthcare’
Source: DigiHealth Informer, Based on analysis of English-language text-based data collected Jan. – Sept. 2017

24. AI in Healthcare: 6 OrganizaFons Driving InnovaFon
Scope
Source: DigiHealth Informer Database
OrganizaFon Areas of Focus AcFvity & Impact
Intel Analy.cs, Big Data,
Etc.
Intel has invested nearly $1 billion in AI
companies and has a strong presence in the
health market.
Illumina Genomics $100/genome/hour analysis improves genomic
data available for AI analysis.
Tencent Genomics, Big Data,
Cancer, Etc.
Large popula.on, unmet needs in Chinese
healthcare market driving significant investment
in AI-driven companies across segments.
Alphabet Diagnos.cs, Cancer,
Health Outcomes
Predic.on
Alphabet is working globally to use AI, machine
and deep learning in cancer, disease diagnosis,
management and other areas.
Amazon Disease
Management
Amazon is working to using its “Internet of
Voice” AI technology to boost disease
management and more.
NVIDIA Cancer, Diagnos.cs,
Etc.
NVIDIA’s Deep Learning GPU Training System
aids cancer diagnosis, improves drug
development and more. NVIDIA’s products are
at the core of numerous health AI efforts.

25. Momentum Analysis: All Eyes on AI and Health
Source: DigiHealth Informer Database
Momentum
September 2016 – September 2017:
Significant Growth in Social/Online Media References to ‘AI and Health’
Source: DigiHealth Informer, Based on analysis of English-language text-based data

26. CB Insights: Investors Pouring Money into AI in Health
Source: CB Insights
$
Investments

27. 2017 AI in Health Funding Events (As Reported via Social Media)
Source: DigiHealth Informer, Based on analysis of English-language text-based data
Screen
Shot:
DigiHealth
Informer
Exploration
Engine
Keywords:
‘AI Raise’
Jan. – Sept. 17
$
Investments

28. Some Countries Making Major Pushes into Healthcare AI
Sources: Ottawa Life Magazine, Forbes
$
Investments
Articles sourced via the DigiHealth Informer database

29. AI and Health: Convergence
Connections
2017: AI is touching precision medicine, virtual reality, mobile, robotics and more in health
Source: DigiHealth Informer, Based on analysis of English-language text-based data collected Jan. – Sept. 2017

30. AI Convergence: Here’s Some of What’s Coming
Connections
Screen Shot:
DigiHealth Informer
Innovation Map
Focusing on AI and
Sensors Reveals Just
How Many
Technology Areas Are
(and Will) Be
Impacted — From
the Internet of Things
to Drones
Source: DigiHealth Informer, Based on analysis of English-language text-based data collected Jan. – Sept. 2017

31. Exploring the Health Virtual Reality Ecosystem
Image Source: Alexandra Acosta, Flickr

32. Exploring the Healthcare Virtual Reality Ecosystem
Scope
VR’s Value Proposition: Create immersive,
realistic experiences that drive emotion, action,
engagement and even wellness.

33. Exploring the Healthcare Virtual Reality Ecosystem
Scope
We’re using VR for many things, including:
Travel and Real Estate: Virtual tours, marketing …
Entertainment: Sports, cinema, music, gaming …
Human-Machine Interfaces: Interact with computers, the
Web and more
Training: CreatingVR simulations for skill-building

34. Major Technologies Commonly Associated With VR
Scope
AI
Wearables
Mobile
Sensors
Hap.cs
Anima.on

35. VR in Healthcare: What People Are Using it For Now
Medical Training
Mental Health Care
(Stress, Anxiety, PTSD, Depression)
Pain Reduc.on
Chronic Disease Management
(High Blood Pressure, Diabetes,
Cancer, Etc.)
Scope

36. VR in Healthcare: Some Areas Where It’s ImpacFng Treatment
Scope
2017: Countries Referenced in Articles Featuring Keywords:‘Virtual Reality Treatment’
Source: DigiHealth Informer, Based on analysis of English-language text-based data collected Jan. – Sept 17

37. How VR Helps to Treat Disease: (Data Collected Jul – Sept. 2017)
Scope
Top 5 Diseases Referenced in Articles Featuring Keywords:‘Virtual Reality Treatment’
Source: DigiHealth Informer, Based on analysis of English-language text-based data
Addiction: Prevent opioid abuse
Autism: Improve socialization and coping skills
Cancer: Help patients cope with stress/pain
Depression: Improve mood and well-being
Stroke: Reduce rehab time

38. VR in Healthcare: A Few InnovaFve OrganizaFons Driving its Use
Scope
Data Source: DigiHealth Informer Database
OrganizaFon Areas of Focus AcFvity & Impact
Washington
Township
Medical
Founda.on
Concussion Care VR glasses help doctors rapidly diagnose specific
sub-types of concussion
Cedars-Sinai Pain Relief Pain scores among people using VR dropped by
24%
Stanford Mental Health Stanford’s Virtual Human Interac.on Lab is
studying the use of VR for trea.ng ea.ng
disorders and other condi.ons

39. Momentum Analysis: VR in Health
Source: DigiHealth Informer Database
Momentum
2017:TheYear ofVR in Health?
Sharp Uptick in Social/Online Media Mentions in 2017
2016
2017

40. VR Health Investment Today and Tomorrow
Company Focus Area & Amount Raised
Psious Virtual reality exposure therapy for anxiety
Funding Amount: Undisclosed
MindMaze Physical therapy for the paralyzed ‘tricks’ the mind into
believing limbs are s.ll func.onal (available in the EU)
Funding Amount: $109 million
Surgical Theater Surgical training program
Funding Amount: $9..6 million
Regroup Therapy Virtual reality-powered telepsychiatry
Funding Amount: $8.4 million
Vidi Vision Virtual reality-based lazy eye treatment being used in 88
clinics around the world
Funding Amount: $3 million
As virtual reality in healthcare has gained momentum, startups are receiving investor attention.
Here are a few that have received funding
Investment Data Source: DigiHealth Informer Database
$
Investments

41. VR Health Investment Today and Tomorrow
$
Investments
Article Source: DigiHealth Informer Database

42. VR and Health: Convergence Illustrated
Connections
2017: HealthVR is still evolving, but is being used not only by health organizations,
but technology companies like Samsung to push forward diagnosis,
mental health treatment and much more
Source: DigiHealth Informer, Based on analysis of English-language text-based data collected Jan. – Sept. 2017
Screen Shot:
DigiHealth Informer
Innovation Map
Focusing onVR in
Disease Diagnosis

43. Share This AI & VR Research
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44. Contents
About Enspektos Research Strategy
Research
Outputs
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45. Access AddiFonal Digital Health Research, Insights and Analysis
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47. Research Summary
Ar.ficial Intelligence & Virtual Reality
in Health: What’s Now, What’s Next
September 2017