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August 5, 2020 at 8:30am-4:30pm PDT

Click on the session title to view the video recording. You may also view the playlist on our YouTube channel.



Welcome and Overview (Video)

Matthew Lungren - Associate Professor of Radiology, Co-Director, Center for Artificial Intelligence in Medicine and Imaging, Stanford


Serena Yeung - Assistant Professor of Biomedical Data Science,  Associate Director of Data Science, Center for Artificial Intelligence in Medicine and Imaging, Stanford


Introductory Remarks (Video)

Curtis Langlotz - Professor of Radiology & Biomedical Informatics, Director, Center for Artificial Intelligence in Medicine and Imaging, Stanford 


The Future of Clinical Machine Intelligence: A Multi-Disciplinary Discussion (Video)

Keynote: Deep Medicine

Eric Topol - Executive Vice-President & Professor, Molecular Medicine, Scripps Research; Director & Founder, Scripps Research Translational Institute


Fireside Chat

Daphne Koller - CEO & Founder, insitro
Joined by Eric Topol, Bhavik Patel and Sharon Zhou


Bhavik Patel -  Assistant Professor of Radiology, Associate Director of Clinical Evaluation, Center for Artificial Intelligence in Medicine and Imaging, Stanford


Sharon Zhou - PhD Student, Computer Science, Stanford




Session 1: Democratizing Healthcare With AI (Video)

Democratizing Screening & Diagnostics with AI

Lily Peng - Product Manager, Google Health


Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting

Pranav Rajpurkar - Researcher, Computer Science, Stanford


Democratizing Medical AI with Shared Datasets

David Ouyang - Staff Physician, Cedars-Sinai Medical Center


Democratizing Healthcare with AI in Brazil

Gilberto Szarf - Radiologist; Coordinator for Research in Radiology, Hospital Israelita Albert Einstein

Project InnerEye: Democratizing Medical Imaging AI

Ozan Oktay - Senior Researcher, Microsoft Research


Panel Discussion and Audience Q&A

Daniel Rubin (Moderator) - Professor of Biomedical Data Science & Radiology, Director of Biomedical Informatics, Stanford


Session 2: Regulatory Considerations for AI in Healthcare (Video)

Regulation and Therapeutic Development in the Age of Exponential Technologies

M. Khair ElZarrad - Deputy Director, Office of Medical Policy, Center for Drug Evaluation & Research, U.S. Food & Drug Administration


Regulatory Considerations for a Radiology AI Start-up

Russell Stewart - Vice President, Clinical Affairs, Nines


Intention vs Claims - How to Please the Regulators

Hugh Harvey - Managing Director, Hardian Health


Panel Discussion and Audience Q&A

David Larson (Moderator) Professor of Pediatric Radiology, Vice Chair for Education & Clinical Operations, Stanford 


Lunch Break / Speed-Networking


Session 3: Technical Advancements in Clinical Machine Learning - What's New in 2020 (Video)

Applying Self-supervised Transfer Learning to Medical Vision and NLP Tasks

Jeremy Howard - Founder,; Research Scientist, University of San Francisco


Translational AI Methods for Musculoskeletal Imaging
Sharmila Majumdar - Margaret Hart Surbeck Distinguished Professor in Advanced Imaging & Vice Chair for Research, Department of Radiology & Biomedical Imaging, Professor of Orthopedic Surgery & Bioengineering & Therapeutic Sciences, UCSF


Upstream AI: What is it?
Shreyas Vasanawala - Professor of Radiology; Associate Director of Image Acquisition, Center for Artificial Intelligence in Medicine and Imaging, Stanford


Machine Learning for Medical Imaging: fastMRI Case Study
Nafissa YakubovaProgram Manager, Facebook AI Research Team


Collaborative Learning: Improving Model Robustness Without the Need for Data Sharing

Jayashree Kalpathy-Cramer - Director, QTIM lab and Center for Machine Learning at the Athinoula A. Martinos Center for Biomedical Imaging, Associate Professor of Radiology, MGH/Harvard Medical School


Panel Discussion and Audience Q&A

Akshay Chaudhari (Moderator) Instructor in Radiology, Associate Director of Research & Education, Center for Artificial Intelligence in Medicine and Imaging, Stanford


Fireside Chat: AI as the Fourth Industrial Revolution (Video)

Andrew Ng - Adjunct Professor, Stanford, CEO, Landing AI, Co-founder, Coursera


Judy Gichoya - Assistant Professor of Radiology, Emory University School of Medicine


Session 4: Bridging Innovation to Application (Video)

Bridging Innovation to Application: Covid-19 and Beyond

Vivian Lee - President, Health Platforms, Verily


Bridging Innovation to Application - Academic Health System Perspective

Christopher Hess - Alexander R. Margulis Distinguished Professor and Chair of the Department of Radiology and Biomedical Imaging at UCSF


AI Transferring Natural Language Into Actionable Knowledge

Imon Banerjee - Assistant Professor of Biomedical Informatics and Radiology, Emory University School of Medicine


Bridging Innovation to Application

Suchi Saria - Director of the Machine Learning and Healthcare Lab and John C. Malone Associate Professor of Computer Science, Statistics, and Public Health, Johns Hopkins University; Founder and CEO, Bayesian Health 

Panel Discussion and Audience Q&A

Jeanne Shen (Moderator) - Assistant Professor of Pathology, Stanford




Session 5: Fairness in Clinical Machine Learning (Video)

AI, Medicine, & Bias: Diversifying Your Dataset is Not Enough

Rachel Thomas - Director, Center for Applied Data Ethics, USF; Co-Founder of


Upgrading the Product Development Process to Foster ML Fairness and Ethical AI

Donald Martin - Senior Technical Program Manager, Google


Data autopsy for FAIR Medical AI

Judy Gichoya - Assistant Professor of Radiology, Emory University School of Medicine


The Price of Fairness in Clinical Risk Prediction

Nigam Shah - Associate Professor of Medicine, and of Biomedical Data Science, Stanford


Wisdom of the Crowd or Tyranny of the Mob? Will AI/ML Amplify Our Capabilities or Exacerbate Our Problems?

Jonathan Chen - Assistant Professor of Medicine, Stanford


Panel Discussion and Audience Q&A

Kristen Yeom (Moderator) - Associate Professor of Radiology and, by courtesy, of Neurosurgery; Stanford



Matthew Lungren & Serena Yeung