Olivier Tastet

May 10, 2024 | onlinecjc.ca | Alexïs Lapalme |Denis Corbin |Olivier Tastet |Robert Avram

Abstract (English) In the dynamic field of medical artificial intelligence (AI), cardiology stands out as a key area for its technological advancements and clinical application. This review explores the complex issue of data bias, specifically addressing those encountered during the development and implementation of AI tools in cardiology. We dissect the origins and impacts of these biases, which challenge their reliability and widespread applicability in healthcare.