Hidden in Plain Sight: If AI Can Detect Race, What About Bias?

An AI model accurately predicts a person's race from a chest radiograph with stunning accuracy. Here's why it matters, and how it poses research questions about bias in medicine. This podcast is intended for US healthcare professionals only. To read a full transcript of this episode or to comment please visit: Eric J. Topol, MD, Director, Scripps Translational Science Institute; Professor of Molecular Medicine, The Scripps Research Institute, La Jolla, California; Editor-in-Chief, Medscape Abraham Verghese, MD, Physician, author, and educator; Professor and Vice Chair, Theory & Practice of Medicine, Department of Medicine, Stanford University, Stanford, California Judy Gichoya, MD, Assistant Professor, Department of Radiology, Emory University, Atlanta, Georgia AI recognition of patient race in medical imaging: a modelling study: You may also like: Medscape's Chief Cardiology Correspondent Dr John M. Mandrola's This Week In Cardiology Discussions on topics at the core of cardiology and the practice of medicine with Dr Robert A. Harrington and guests on The Bob Harrington Show For questions or feedback, please email: news@medscape.net

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Hidden in Plain Sight: If AI Can Detect Race, What About Bias? is an episode from Medicine and the Machine by Medscape Podcasts.

This episode is 36:24 long.

This episode was published on Jul 27, 2022.

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