More Related Content Similar to Who are the players and use cases of #AI in healthcare (20) More from Steve Ardire (7) Who are the players and use cases of #AI in healthcare1. Ā© 2017 All Rights Reserved | Steve Ardire
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Steve Ardire
Strategic Advisor to AI Startups
sardire@gmail.com @sardire skype: sardire
http://www.linkedin.com/in/sardire
Inside Mind an AI Startup Advisor https://goo.gl/ysaKL1
My Advisor Gigs include
Who are the players and use cases of AI in Healthcare
AI is revolutionizing healthcare for medical diagnosis, drug discovery, much
more. In this 15 min session Iāll outline why, some use cases, and key players
very soon
2. Ā© 2017 All Rights Reserved | Steve Ardire
IBM Interconnect video
March 2017
3. Ā© 2017 All Rights Reserved | Steve Ardire
1) Machines can attend to
vastly more information and
more complex processes
than human beings
2) Many jobs will be automated
but drive human capital to
higher-order, non-routine
cognitive creative work
3) Augmented Intelligence
where machines & humans
work together will become
pervasive.
AI changing way people work and interact in all professions
https://www.accenture.com/us-en/insight-intelligent-machines-workforce-of-the-future
3 key takeaway points
āAlluding to Peter Druckerās thinking, effectiveness should be a human pursuit, while
efļ¬ciency should be delegated to machinesā
4. Ā© 2017 All Rights Reserved | Steve Ardire
10.6% to adopt within 12 months, 23.5 %
within 2 years 24.7% in three to ļ¬ve years.
Half of hospitals to adopt artificial
intelligence within 5 years
http://www.healthcareitnews.com/news/half-hospitals-
adopt-artificial-intelligence-within-5-years
Many feel AI technologies
still in early stages of
development with difļ¬culty
understanding the
immediate opportunities.
IMO true to some degree but
NOT for diagnostics and
imaging and breakthroughs
happening fast for oncology
and genomics
Healthcare
5. Ā© 2017 All Rights Reserved | Steve Ardire
Population health, clinical decision support, patient diagnosis and precision
medicine, top places AI will have the most substantial initial impact.
Healthcare
6. Ā© 2017 All Rights Reserved | Steve Ardire
https://latest.13d.com/artiļ¬cial-intelligence-is-on-the-precipice-of-revolutionizing-medical-diagnosis-be6427239f58
AI on precipice of revolutionizing medical diagnosis
AI will propel new winners in tech healthcare and most importantly saveĀ lives
National Academies of Medicine:
diagnostic errors lead to up to 10% of all
patient deaths, and up to 17% of all
hospital complications.
Machine learning as a diagnostic tool
will generate incredible efļ¬ciencies and
cost savings for patients, doctors, and
hospitals. It will propel new winners in
the tech and healthcare sectors. And
most importantly of all, it will save lives.
-
+
7. Imaging and advances in
computer vision
ā¢ Dramatically improve ability of
health professionals to establish a
prognosis and improve diagnostic
accuracy
ā¢ Will drive rapid improvements in
performance and machine accuracy
will soon exceed that of humans.
Help Catch Alzheimer's Early
http://www.livescience.com/55313-artiļ¬cial-intelligence-alzheimers-early-
detection.html#sthash.ilbHTCKm.uxfs&st_refDomain=&st_refQuery=
ā¢ People with Alzheimer's typically display
decreased perfusion in brain tissue, which results
in insufļ¬cient supply of oxygen and nutrients to
the brain.
ā¢ MRI technique called arterial spin labeling (ASL),
which measures perfusion ā the process of
blood being absorbed into a tissue ā across the
brain. Still experimental
8. Ā© 2017 All Rights Reserved | Steve Ardire
Self-taught AI beats doctors at
predicting heart attacks
http://www.sciencemag.org/news/2017/04/self-
taught-artiļ¬cial-intelligence-beats-doctors-
predicting-heart-attacks
Arterysās medical imaging FDA
approved to help doctors
diagnose heart problems
http://www.forbes.com/sites/bernardmarr/
2017/01/20/ļ¬rst-fda-approval-for-clinical-cloud-
based-deep-learning-in-healthcare/#7db3609746e6
takes 15 seconds to produce a result while
professional human analyst typically spends
30 minutes to an hour
Doctors pride themselves on their expertise
so will physicians adopt similar machine-
learning methods in their practices?
9. Ā© 2017 All Rights Reserved | Steve Ardire
What is AI? Ingredients for Intelligence
https://blog.grakn.ai/what-is-ai-ingredients-for-intelligence-f11a51403df3
Knowledge Representation + Automated Reasoning = Knowledge Base ( hardest part )
10. Ā© 2017 All Rights Reserved | Steve Ardire
https://www.ibm.com/watson/health
https://www.ibm.com/watson/health/population-health-
management/care-management
https://www.ibm.com/watson/health/oncology-and-
genomics/genomics/
https://www.ibm.com/watson/health/oncology-
and-genomics/oncology/
https://www.ibm.com/watson/health/value-
based-care/patient-engagement/
https://www.ibm.com/watson/health/life-
sciences/drug-discovery
Deborah DiSanzo General
Manager@IBMWatsonHealth
12. Search for pathways linked to geneĀ LYPLA1
Reasoning on gene-pathway links
A key step is the deļ¬nition of an ontology,
which facilitates the modeling of complex
datasets and guarantees information
consistency.
Inference rules allow the extraction of implicit
information from explicit data, to achieve logical
reasoning over the represented knowledge.
ā¢ if genes codify proteins
ā¢ if proteins belong to pathways
ā¢ Thus, it is possible to infer the following fact:
ā¢ then genes can be linked to pathways
ā¢ Therefore, we can write an inference rule that
infers genes-pathways links:
BioGrakn been built on top of GRAKN.AI
https://blog.grakn.ai/a-knowledge-graph-based-semantic-database-for-biomedical-sciences-167154319a0a
Distributed knowledge graph database
which allows complex data modeling,
veriļ¬cation, scaling, querying and analysis.
13. @Allen_Institute scientists are using #GPUs + #AI to predict the look of stem cells to
better understand cancer http://nvda.ws/2nTonjJĀ
Allen Cell Explorer: A portal to the human cell
https://youtu.be/E7PYBUyp4k0
14. Deep Genomics to develop drugs using #deeplearning to find
patterns in genomic & medical data
https://www.technologyreview.com/s/604305/an-ai-driven-genomics-company-is-turning-to-drugs/
Models fundamental aspects of molecular biology so can be used for any variant and any disease.
ā¢ Target bio-marker discovery
ā¢ Interpretation of genetic variation
ā¢ Genome-based therapeutic development
ā¢ Molecular diagnostics and carrier screening
ā¢ Risk assessment for complex disorders
15. Ā© 2017 All Rights Reserved | Steve Ardire
Where Big Pharma Is Placing Bets In Digital Health In One Timeline
https://www.cbinsights.com/blog/pharma-digital-health-startup-investments-timeline/ via @cbinsights
*Digital health startups raised over $6B in equity ļ¬nancing in 2016 with no signs of slowing down.
Use software as a central piece of the companyās product offering, including but not limited to mobile
health, telemedicine, genomics, and electronic medical records. Products like pharmaceuticals,
mechanical devices, and hospital systems are excluded.
16. Ā© 2017 All Rights Reserved | Steve Ardire
Wish Stephenson Cancer Center and Brain Tumor Program led by James
Battiste, MD, PhD and Michael Sughrue, MD best going forward !
see relevant AI for Healthcare links next 2 slides
17. Ā© 2017 All Rights Reserved | Steve Ardire
Artiļ¬cial intelligence could increase speed and reliability of brain research http://www3.imperial.ac.uk/
newsandeventspggrp/imperialcollege/newssummary/news_22-2-2017-17-57-12
Neuroscientists at Imperial using machine learning techniques in real-time brain imaging studies.
Algorithm predicts epileptic seizures in real-time
http://www.futurity.org/machine-learning-epilepsy-seizures-1410972/?
utm_source=feedly&utm_medium=webfeeds
Direct-to-brain chemo better than systemic drugs when immunotherapy is to follow http://scienmag.com/
direct-to-brain-chemo-better-than-systemic-drugs-when-immunotherapy-is-to-follow/
Artiļ¬cialintelligence uncovers new insight into biophysics of cancer https://medicalxpress.com/news/
2017-01-artiļ¬cial-intelligence-uncovers-insight-biophysics.html
Artiļ¬cial intelligence could build new drugs faster than any human team https://qz.com/963484 via @qz
Cancer drugs that harness the immune system have been gaining ground ā here's what's next
http://read.bi/2gTIyOX
Artiļ¬cial Intelligence To Generate New Cancer Drugs On Demand http://www.eurasiareview.com/25122016-
artiļ¬cial-intelligence-to-generate-new-cancer-drugs-on-demand/#.WGAWaBgWeTI.twitter
Ancient stress response provides clues to cancer resistance https://www.sciencedaily.com/releases/
2017/04/170425144244.htm#.WP_-glPbxm0.twitter
MIT computer scientist Regina Barzilay empowers cancer treatment with machine learning
http://mitsha.re/UzHX309722u
New statistical analysis reveals thousands of rare mutations linked with cancer
https://eurekalert.org/e/7mw0
relevant AI for Healthcare links ( 1 )
18. Ā© 2017 All Rights Reserved | Steve Ardire
Bad Luck Causes Most Cancer, New Study Finds
http://www.popularmechanics.com/science/health/a25821/bad-luck-causes-cancer/
Vogelstein: 40 percent of cancers are preventable,
New optical nanosensor improves brain mapping accuracy, opens way for more applications https://scienmag.com/
new-optical-nanosensor-improves-brain-mapping-accuracy-opens-way-for-more-applications/
Patients' immune system may influence effectiveness of cancer immunotherapy https://www.sciencedaily.com/
releases/2017/04/170402111237.htm#.WOF3qTwI9M4.twitter
Researchers Develop Nanodiscs That Can Wipe Out Tumors giving hope to 14.5M Americans with history of cancer
https://futurism.com/researchers-develop-nanodiscs-that-can-wipe-out-tumors/
Researchers discover new combination therapy strategy for brain, blood cancers https://scienmag.com/?p=1520839Ā
Stem cell divisions, somatic mutations, cancer etiology, and cancer prevention
http://science.sciencemag.org/content/355/6331/1330
Study unmasks the genetic complexity of cancer cells within the same tumor http://medicalxpress.com/news/
2016-12-unmasks-genetic-complexity-cancer-cells.html via @medical_xpress
The next weapon against brain cancer may be human skin http://www.theverge.com/2017/2/6/14525164/stem-cells-
human-skin-brain-cancer-tumors-glioblastoma?
utm_campaign=theverge&utm_content=entry&utm_medium=social&utm_source=twitter via @Verge
University of Nebraska Medical Ctr makes $119M bet on virtual, augmented reality training center https://shar.es/
1QKk2J via @MobiHealthNews
relevant AI for Healthcare links ( 2 )