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: https://www.medscape.com/features/public/machine 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: https://pubmed.ncbi.nlm.nih.gov/35568690/ You may also like: Medscape's Chief Cardiology Correspondent Dr John M. Mandrola's This Week In Cardiology https://www.medscape.com/twic 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 https://www.medscape.com/author/bob-harrington For questions or feedback, please email: [email protected]