Session 1 focuses on the democratization of clinical knowledge via AI enabled diagnostics including use cases, advantages, pitfalls, and future directions.<\/p>\n
00:00 – Session Overview
\nDaniel Rubin, Professor of Biomedical Data Science & Radiology, Director of Biomedical Informatics, Stanford<\/p>\n
06:21 – Democratizing Screening & Diagnostics with AI
\nLily Peng – Product Manager, Google Health<\/p>\n
20:39 – Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting
\nPranav Rajpurkar – Researcher, Computer Science, Stanford<\/p>\n
28:08 – Democratizing Medical AI with Shared Datasets
\nDavid Ouyang – Staff Physician, Cedars-Sinai Medical Center<\/p>\n
36:55 – Democratizing Healthcare with AI in Brazil
\nGilberto Szarf – Radiologist; Coordinator for Research in Radiology, Hospital Israelita Albert Einstein<\/p>\n
45:11 – Project InnerEye: Democratizing Medical Imaging AI
\nOzan Oktay – Senior Researcher, Microsoft Research<\/p>\n
52:05 – Panel Discussion and Audience Q&A<\/p>\n
Livestreamed on August 5, 2020 from the Stanford Center for Artificial Intelligence in Medicine and Imaging.<\/p>\n
Website: https:\/\/aimi.stanford.edu
\nTwitter: https:\/\/x.com\/StanfordAIMI
\n#AIMI20<\/p>\n","protected":false},"excerpt":{"rendered":"
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