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ADADVA
Director of Medical AI
, M.D.
ADADVA
Need,Challenge,&
Opportunity
BRINGINGYOURMEDICALAIPROJECTSTOLIFE
ODSC | August 2020
● Director of Medical AI, iMerit
● Plastic & Reconstructive Surgeon, Stanford
Hospital & Clinics
● 10 years in MedTech, 5 years in Medical AI
● Building Healthcare Datasets for Machine Learning
Use Cases at iMerit for >2 years
SINABARI,MD
Poll1
KEYTAKEAWAYS
● Provider Burnout lends urgency to the need for AI
solutions in healthcare
● Understanding Trustability and Intuition is the key to
adoption of Medical AI
● Concepts of Bias and Equity present both a challenge
and an opportunity for AI
Case Studies
Questions
WHOISiMERIT
• iMerit leverages human intelligence
to label and enrich data
• We enrich training data accurately,
securely, and with operational
efficiency
• We power algorithms in machine
learning and computer vision
• We effect positive social and
economic change by combining a
network of experts and an under-
utilized workforce
WeareiMerit
Strong
Social
Mission
On-Demand
Dynamic
Skilling
Technology
Powered
Enterprise
Grade
Client
Analytics
& Insights
● iMerit Tools
● Client & 3rd Party Tools
● AWS Sagemaker Ground Truth
iMeritisToolAgnostic&PlatformInclusive
Medical Computer Vision Healthcare Informatics
● Physical Exam Imagery ● Virtual Nursing Assistants &
Chatbots
● Digital Radiology ● Medical Record Data
Enrichment & Extraction
● Digital Pathology ● Clinical Trial Data Enrichment
& Extraction
● Endoscopy & Robotic Surgery ● Medical Natural Language
Processing
iMerit’sDedicatedMedicalDivision
Poll2
PROVIDERBURNOUT
WhatisBurnout?
● Burnout is a combination of exhaustion,
cynicism, and perceived inefficacy resulting
from long-term job stress
● Burnout has increased over the last decade
● >50% of Physicians report experiencing
burnout (Jan 2020, MedScape)
WhataretheConsequencesofBurnout?
● Medical errors and diminished patient care
○ Higher Mortality
○ Increased Nosocomial Infections
● Domestic Violence and Harmed Personal Relationships
● Alcoholism & Substance Abuse
● Depression and Suicide
Radiology
Pathology
Anesthesia
Orthopedics
Primary Care
Urology
General Surgery
Nursing
“Loadtheboat”
Dermatology
Ophthalmology
Cardiology
Gastroenterology & Hepatology
Sports Medicine & Biomechanics
Dentistry
Neurology
Cardiology
Access to a medical community to build compliant solutions via
an industrialized process
Poll3
TRUST&INTUITION
HowdodoctorsfeelaboutAI?
Why?
● Doctors are luddites?
● Doctors are gatekeepers?
● Mis-steps can have disastrous
consequences
● Over eager adoption of
technology has a regrettable
history
● Intuition is a big part of
medicine
“Sickvs.NotSick”
Tversky & Kahneman
System 1: Fast, automatic,
frequent, emotional, stereotypic,
unconscious, resistant to change
System 2: Slow, effortful,
infrequent, logical, calculating,
conscious.
OPERATIONALUSECASES
CLINICALUSECASES
Screening
Triage
Measurement
Quantification
Autonomous Systems
Clinical Decision Support
Robotic Process Automation
Structuring Research Data
Patient Engagement
Iterative&NeedsDrivenAITechnology
BIAS&EQUITY
Whatisthesolution?
● Define and Measure
Fairness
● HiTL during training and
model validation
● Checking Counterfactual
Fairness
● Larger and More Diverse
Sets of Training Data
Inhouse & Consultative Network of Experts allows for tiered services
based on complexity
Tier 1 - Specialized Annotators with Expert created Guidelines &
Training
Tier 2 - Specialized Annotators with “Expert-in-the-loop” for
Production, QA, or QC
Tier 3 - Subject Matter Experts / Clinicians
“SolutiontoPollutionisDilution”
● Narrow
specialization in
target domain
● Specialized
lexicon: domain,
metacognitive
● Distilled definitions
● Streamlined theory
& background
● Modularized curriculum
● Microlearning design
● Peer learning and consensus-
building
● Iterative practice
● Example-rich
● Exposure to edge cases
● Cumulative proficiency
development
Deep
Focused
Expert guided
Training
Specialists
APPROACHTOTRAINING
iMeritONE:LearningManagementSystem
Skill Configuration
Domains are broken into their
constituent foundational skill sets
Smart Resource
Allocation
Staff with the right skills are assigned
based on their Employee Skill Profiles
and the needs of the project
Virtual Classrooms
...and Supplemented with Online
Instructor led training
Project Skill Tagging
New Projects are tagged with the
relevant skills at the level of
workflow and role
Learning Management
System
Additional skills are built using our
modular online e-learning platform...
Practice &
Assessment Tools
Automated tools for evaluation
allow us to visualize status &
progres
iMERITPeoplePlatform(iMPP)
Skills List
3D Spatial, Cardiac, LIDAR, Polygon Segmentation,
Semantic Segmentation (II), Medical
MINICASESTUDIES
PROBLEM:
● Semantic Segmentation of
Robotic CABG Video
SOLUTION:
● TIER 1 Annotation Services
FEATURES:
● Expert Consultation & Guideline
Preparation
● Modular Curriculum focused on
Surgical Anatomy and Procedural
Steps
● iMerit PanOptic Tool
S CASE1:ROBOTICSURGERY
PROBLEM:
● Annotation of Whole Slide Images of
Ki-67 IHC Staining for IDC Breast Cancer
SOLUTION:
● TIER 2 Annotation Services
FEATURES:
● SME Consultation & Guideline Prep from
Primary Literature
● Modular Curriculum
● Multi-step Workflow
○ Step 1: Specialist Annotation Teams
○ Step 2: Pathologist Consensus &
Feedback
● Client Digital Pathology Tools
S CASE2:DIGITALPATHOLOGY
PROBLEM:
● Entity Recognition, Key-value
Pair Localization & Extraction
from Heterogenous
Documents
SOLUTION:
● TIER 3 Annotation Services
FEATURES:
● NLP Expert Consultation
● Team of Nurse Annotators
● iMerit NLP Annoation Tools
S CASE3:DISCHARGESUMMARIES
Summary
● Disparate Care & Physician Burnout increase the urgency
for AI solutions in Healthcare
● Build needs-driven intuitive tools that integrate
thoughtfully with existing workflows
● “Load the boat” with a partner that can support data
operations, leveraging existing networks of medical
expertise
● Scale Data Operations to Industrialize and Commercialize
AI Solutions
Visit us @ imerit.net
Contact:
sina@imerit.net

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Open Data Science Conference (ODSC) Medical AI Webinar

  • 3. ● Director of Medical AI, iMerit ● Plastic & Reconstructive Surgeon, Stanford Hospital & Clinics ● 10 years in MedTech, 5 years in Medical AI ● Building Healthcare Datasets for Machine Learning Use Cases at iMerit for >2 years SINABARI,MD
  • 5. KEYTAKEAWAYS ● Provider Burnout lends urgency to the need for AI solutions in healthcare ● Understanding Trustability and Intuition is the key to adoption of Medical AI ● Concepts of Bias and Equity present both a challenge and an opportunity for AI Case Studies Questions
  • 7. • iMerit leverages human intelligence to label and enrich data • We enrich training data accurately, securely, and with operational efficiency • We power algorithms in machine learning and computer vision • We effect positive social and economic change by combining a network of experts and an under- utilized workforce WeareiMerit Strong Social Mission On-Demand Dynamic Skilling Technology Powered Enterprise Grade Client Analytics & Insights
  • 8. ● iMerit Tools ● Client & 3rd Party Tools ● AWS Sagemaker Ground Truth iMeritisToolAgnostic&PlatformInclusive
  • 9. Medical Computer Vision Healthcare Informatics ● Physical Exam Imagery ● Virtual Nursing Assistants & Chatbots ● Digital Radiology ● Medical Record Data Enrichment & Extraction ● Digital Pathology ● Clinical Trial Data Enrichment & Extraction ● Endoscopy & Robotic Surgery ● Medical Natural Language Processing iMerit’sDedicatedMedicalDivision
  • 10. Poll2
  • 12. WhatisBurnout? ● Burnout is a combination of exhaustion, cynicism, and perceived inefficacy resulting from long-term job stress ● Burnout has increased over the last decade ● >50% of Physicians report experiencing burnout (Jan 2020, MedScape)
  • 13. WhataretheConsequencesofBurnout? ● Medical errors and diminished patient care ○ Higher Mortality ○ Increased Nosocomial Infections ● Domestic Violence and Harmed Personal Relationships ● Alcoholism & Substance Abuse ● Depression and Suicide
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  • 17. Radiology Pathology Anesthesia Orthopedics Primary Care Urology General Surgery Nursing “Loadtheboat” Dermatology Ophthalmology Cardiology Gastroenterology & Hepatology Sports Medicine & Biomechanics Dentistry Neurology Cardiology Access to a medical community to build compliant solutions via an industrialized process
  • 18. Poll3
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  • 22. Why? ● Doctors are luddites? ● Doctors are gatekeepers? ● Mis-steps can have disastrous consequences ● Over eager adoption of technology has a regrettable history ● Intuition is a big part of medicine
  • 23. “Sickvs.NotSick” Tversky & Kahneman System 1: Fast, automatic, frequent, emotional, stereotypic, unconscious, resistant to change System 2: Slow, effortful, infrequent, logical, calculating, conscious.
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  • 25. OPERATIONALUSECASES CLINICALUSECASES Screening Triage Measurement Quantification Autonomous Systems Clinical Decision Support Robotic Process Automation Structuring Research Data Patient Engagement Iterative&NeedsDrivenAITechnology
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  • 33. Whatisthesolution? ● Define and Measure Fairness ● HiTL during training and model validation ● Checking Counterfactual Fairness ● Larger and More Diverse Sets of Training Data
  • 34. Inhouse & Consultative Network of Experts allows for tiered services based on complexity Tier 1 - Specialized Annotators with Expert created Guidelines & Training Tier 2 - Specialized Annotators with “Expert-in-the-loop” for Production, QA, or QC Tier 3 - Subject Matter Experts / Clinicians “SolutiontoPollutionisDilution”
  • 35. ● Narrow specialization in target domain ● Specialized lexicon: domain, metacognitive ● Distilled definitions ● Streamlined theory & background ● Modularized curriculum ● Microlearning design ● Peer learning and consensus- building ● Iterative practice ● Example-rich ● Exposure to edge cases ● Cumulative proficiency development Deep Focused Expert guided Training Specialists APPROACHTOTRAINING
  • 36. iMeritONE:LearningManagementSystem Skill Configuration Domains are broken into their constituent foundational skill sets Smart Resource Allocation Staff with the right skills are assigned based on their Employee Skill Profiles and the needs of the project Virtual Classrooms ...and Supplemented with Online Instructor led training Project Skill Tagging New Projects are tagged with the relevant skills at the level of workflow and role Learning Management System Additional skills are built using our modular online e-learning platform... Practice & Assessment Tools Automated tools for evaluation allow us to visualize status & progres
  • 37. iMERITPeoplePlatform(iMPP) Skills List 3D Spatial, Cardiac, LIDAR, Polygon Segmentation, Semantic Segmentation (II), Medical
  • 39. PROBLEM: ● Semantic Segmentation of Robotic CABG Video SOLUTION: ● TIER 1 Annotation Services FEATURES: ● Expert Consultation & Guideline Preparation ● Modular Curriculum focused on Surgical Anatomy and Procedural Steps ● iMerit PanOptic Tool S CASE1:ROBOTICSURGERY
  • 40. PROBLEM: ● Annotation of Whole Slide Images of Ki-67 IHC Staining for IDC Breast Cancer SOLUTION: ● TIER 2 Annotation Services FEATURES: ● SME Consultation & Guideline Prep from Primary Literature ● Modular Curriculum ● Multi-step Workflow ○ Step 1: Specialist Annotation Teams ○ Step 2: Pathologist Consensus & Feedback ● Client Digital Pathology Tools S CASE2:DIGITALPATHOLOGY
  • 41. PROBLEM: ● Entity Recognition, Key-value Pair Localization & Extraction from Heterogenous Documents SOLUTION: ● TIER 3 Annotation Services FEATURES: ● NLP Expert Consultation ● Team of Nurse Annotators ● iMerit NLP Annoation Tools S CASE3:DISCHARGESUMMARIES
  • 43. ● Disparate Care & Physician Burnout increase the urgency for AI solutions in Healthcare ● Build needs-driven intuitive tools that integrate thoughtfully with existing workflows ● “Load the boat” with a partner that can support data operations, leveraging existing networks of medical expertise ● Scale Data Operations to Industrialize and Commercialize AI Solutions
  • 44. Visit us @ imerit.net Contact: sina@imerit.net