EP16 Fei Wang, PhD, Weill Cornell Medical College episode artwork

EPISODE · Oct 12, 2025 · 58 MIN

EP16 Fei Wang, PhD, Weill Cornell Medical College

from STAT AI: An Emergency Medicine Podcast · host Ethan Abbott and DJ Apakama

Join us for Episode 16 of the STAT AI Podcast! After breaking down a recent study on AI-based ED crowd forecasting, we’re joined by Dr. Fei Wang—Professor of Population Health Sciences and Emergency Medicine at Weill Cornell Medicine, Chief of the Division of Health Informatics and Artificial Intelligence, and Director of the Institute of Artificial Intelligence for Digital Health. In a wide-ranging conversation, Dr. Wang shares his perspective on what makes AI models truly usable in clinical practice, why so many fail to generalize beyond the lab, and how to evaluate performance beyond just accuracy. From reproducibility to regulatory challenges to building AI systems that actually solve real-world problems, Dr. Wang brings a pragmatic and deeply informed lens to the future of health AI. A must-listen for EM clinicians, researchers, and anyone thinking about the next phase of AI deployment in healthcare.Share your thoughts on the episode here.Support the show

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EP16 Fei Wang, PhD, Weill Cornell Medical College

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This episode is 58 minutes long.

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This episode was published on October 12, 2025.

What is this episode about?

Join us for Episode 16 of the STAT AI Podcast! After breaking down a recent study on AI-based ED crowd forecasting, we’re joined by Dr. Fei Wang—Professor of Population Health Sciences and Emergency Medicine at Weill Cornell Medicine, Chief of the...

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