HRX NeXt Ep. 3 – A Conversation about Understanding AI Bias in Clinical Practice

AI has the potential to transform healthcare through tools that streamline tasks, support diagnosis, and guide clinical decisions, but bias in these models poses risks of patient harm. This article highlights the issue of bias, its clinical consequences, and introduces a simple framework to mitigate it.

Join moderator Krishna Pundi and guests Mike Rosenberg, Peter Noseworthy, and Demilade Adedinsewo for a lively discussion of this cutting-edge manuscript from heart Rhythm O2.

Learning Objectives

Examine biases that create potential risks for patients in the use of AI tools in healthcare.

Podcast Contributors

Krishna Pundi, MD, Stanford University/Palo Alto VA Medical Center
Mike Rosenberg, MD, FHRS, University of Colorado Anschutz
Peter Noseworthy, MD, FHRS, Mayo Clinic
Demilade Adedinsewo, MD, MPH, Mayo Clinic

Faculty and Disclosures

All relevant financial relationships have been mitigated.

Host Disclosure(s):

K. Pundi:

Nothing to disclose.

Contributors Disclosure(s):

M. Rosenberg:

Nothing to disclose.

P. Noseworthy:

Honoraria/Speaking/Consulting: Optum
Research: National Institutes of Health, National Institute on Aging, Agency for Healthcare Research and Quality, U.S. Food & Drug Administration, American Heart Association, Medtronic, Inc.
Royalty: AliveCor,

D. Adedinsewo:

Research: NIH, Miami Heart Research Institute
Fellowship: Mayo Clinic
Stocks Publicly Traded: Apple

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