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

Medicine and the Machine

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: [e-mail]