HRX NeXt Podcast Channel -Episode 3 - A Conversation about Understanding AI Bias in Clinical Practice (Innovation Hub Podcast)
Description
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.
Article Authors and Podcast Contributors
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 relasionships 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

Summary
Availability:
On-Demand
Cost:
FREE
 


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Vision:
To end death and suffering due to heart rhythm disorders.

Mission:
To Improve the care of patients by promoting research, education, and optimal health care policies and standards.
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