Primary topics the speakers will cover includes: Artificial Intelligence - what’s different this time?; What’s new? - Applications in Healthcare; Impact on healthcare delivery especially in hospitals. We will also discuss leveraging your data assets with AI in this cutting-edge session.

1. MACHINE LEARNING & ARTIFICIAL INTELLIGENCE:
BEYOND DIAGNOSIS
for
presents
Mark E. Strauss
Privacy Officer, Marketing Principal
SMARTMD Corporation Twitter:
mstrauss@SMARTMD.com @SMART_MD

2. • Founded in 1999
• Today over 500 employees (majority are US-based)
• Rated 2nd most trusted provider in US Transcription Services
• Selected as one of top 16 US providers for industry guidance
along with Nuance, etc.
• Experts in interoperability and the secure migration and
management of PHI & medical documentation.
• Large, multi-dimensional data library includes over 7 million
Medical Transcriptions tied to Coding and Charge Capture.
SMARTMD Corporation

6. Artificial Intelligence (“AI”)
Machine Learning
(“ML”)
Deep Neural Networks
(“DNN”)
1965 2017 2046?
Physical complexity
of 3-year-old child
in real time

7. Neural Network
Intelligence Artificial Intelligence?

8. Neural Network

9. Deep Neural Network (“DNN”)

10. Neuron
Drawing of a pyramidal neuron by Santiago Ramón y Cajal, from the cerebral cortex of a human.

11. Training with the Modified National Institute of
Standards and Technology database (“MNIST”)

12. Hidden Layers à Hidden Correlation

13. Hidden Layer of Mouse Visual Neurons
Electrophysiological data collected from neurons in the mouse visual cortex forms the
basis for the Allen Institute's Cell Type Database.

14. “Garbage in, garbage out.”
Arguments are unsound if their premises are flawed.

15. One man's trash…

16. Assumptions (premises)
well understood
Small, independent data
(homoscedasticity of external data assumed)
Assumptions
poorly understood
or unknown
Large, diverse data
with unknown relationships
Statistical tools such
as regression
analysis
Machine Learning
approach such as
deep neural networks

17. Over Training

18. C3C3C3C3C3C3C
Blockchain—A Two Slide Introduction
Unstructured Data entry 1
Data entry 2
Data entry 3
1st hash in ledger
2nd hash in ledger
3rd hash in ledger contains reference to ALL previous data.
A1A1A1A1A1A1A
A1A1A1A1A1A1A
B2B2B2B2B2B2B
B2B2B2B2B2B2B

19. Blockchain—A Two Slide Introduction
Trusted Node
Confirmation
Anonymous Node
Confirmation

20. Blockchain—A Two Slide Introduction

21. Who has the data (“Gold”)?
Insurance carriers (i.e. UHC, Medicare)
EHR & Billing vendors (i.e. Epic, Athena)
Medical device makers (GE)
PHRs (Apple, Microsoft)
Hospital systems (Kaiser)
Clinics
Patients (Apple is betting on this one)
Improve
Outcomes /
Performance
Shift Triage
to Patients
Negotiate
Contracts
Charge for
Access
Sell Data
EntrepreneursHospitals Insurers EHRs Patient
Possible Uses

22. Who is Mining the Gold?
Technology
People
(“data sources”)
Data GE, Google,
Apple, Microsoft,
Amazon, FB,
IBM…
CVS?

23. Use Case
Data Set

24. Improving Palliative Care with Deep Learning
Diagnosis
Acute Care Current Optimal Palliative Intervention
1 year

25. What you do if you don’t have the Gold
• Google – Diabetic Retinopathy
Hire 54 Ophthalmologists, to collect 880,000 reads on 130,000 images
• Amazon – Alexa
Free skills to collect, analyze, improve understanding of human speech
• Sentiment MD – Image classification DNN
Just upload your images & classifications; they build/run the DNN

26. What If You Don’t Have The Network?
[3] Google
Inception
DNN
Hospital
Readmission
DNN
[2] Keras
Define entire layer
[1] Tensorflow
Define cells by function
20142017
Code
from
scratch

27. Google Leads Industry
Far ahead of everyone else (including Watson)
• Search
• Vision (driverless cars)
• Language (translator)
Google
Google
Contributing
• Free tools
• Free (almost) education (e.g. Udacity)
• Low cost apps (diabetic retinopathy)

28. First Open Google TPU (“Tensor Processing Unit”)
Google’s TPUs used for Google Street View text
processing were able to find all the text in the
Street View database in less than five days.

29. MACHINE LEARNING & ARTIFICIAL INTELLIGENCE:
BEYOND DIAGNOSIS
Mark E. Strauss
Privacy Officer, Marketing Principal
SMARTMD Corporation
mstrauss@SMARTMD.com @SMART_MD
Thank you