AIMI Symposium 2020 – Session 1: Democratizing Healthcare with AI

Session 1 focuses on the democratization of clinical knowledge via AI enabled diagnostics including use cases, advantages, pitfalls, and future directions.

00:00 – Session Overview
Daniel Rubin, Professor of Biomedical Data Science & Radiology, Director of Biomedical Informatics, Stanford

06:21 – Democratizing Screening & Diagnostics with AI
Lily Peng – Product Manager, Google Health

20:39 – Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting
Pranav Rajpurkar – Researcher, Computer Science, Stanford

28:08 – Democratizing Medical AI with Shared Datasets
David Ouyang – Staff Physician, Cedars-Sinai Medical Center

36:55 – Democratizing Healthcare with AI in Brazil
Gilberto Szarf – Radiologist; Coordinator for Research in Radiology, Hospital Israelita Albert Einstein

45:11 – Project InnerEye: Democratizing Medical Imaging AI
Ozan Oktay – Senior Researcher, Microsoft Research

52:05 – Panel Discussion and Audience Q&A

Livestreamed on August 5, 2020 from the Stanford Center for Artificial Intelligence in Medicine and Imaging.

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