This paper is in the following e-collection/theme issue:

Research Letter (48) Artificial Intelligence (1773) Chatbots and Conversational Agents (645) Generative Language Models Including ChatGPT (521) Cardiac Risk and Cardiac Risk Calculators (72) AI Language Models in Health Care (112) Cardiology (202) Theme Issue (2023): Generative & Multimodal AI in Digital Cardiovascular Medicine (6)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54242, first published .
Gender Bias in AI's Perception of Cardiovascular Risk

Gender Bias in AI's Perception of Cardiovascular Risk

Gender Bias in AI's Perception of Cardiovascular Risk

Authors of this article:

Margaux Achtari1 Author Orcid Image ;   Adil Salihu2 Author Orcid Image ;   Olivier Muller2 Author Orcid Image ;   Emmanuel Abbé3 Author Orcid Image ;   Carole Clair1 Author Orcid Image ;   Joëlle Schwarz1 Author Orcid Image ;   Stephane Fournier2 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Lederman O, Llana A, Murray J, Stanton R, Chugh R, Haywood D, Burdett A, Warman G, Walker J, Hart N. Promises and perils of generative artificial intelligence: a narrative review informing its ethical and practical applications in clinical exercise physiology. BMC Sports Science, Medicine and Rehabilitation 2025;17(1) View