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

Research Letter (57) Artificial Intelligence (2129) Chatbots and Conversational Agents (740) Generative Language Models Including ChatGPT (708) Cardiac Risk and Cardiac Risk Calculators (102) AI Language Models in Health Care (202) Cardiology (224) Theme Issue (2023): Generative & Multimodal AI in Digital Cardiovascular Medicine (8)

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 (5) Tweetations (1) Metrics

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  2. Jia Y, Pang L, Bi M, Yang X, Song J. Dependability of Large Language Models in Cardiovascular Medicine: A Scoping Review. Journal of Cardiothoracic and Vascular Anesthesia 2025;39(12):3534 View
  3. Harrington J, Booth R, Jackson K. Large Language Models in Nursing Education: Concept Analysis. JMIR Nursing 2025;8:e77948 View
  4. Moghimikandelousi S, Najm L, Lee Y, Bayat F, Prasad A, Khan S, Bhavan A, Gao W, Hosseinidoust Z, Didar T. Advances in biomonitoring technologies for women’s health. Nature Communications 2025;16(1) View
  5. Umar M, Ali V, Shamim L, Musharaf I, Hafsa R, Ahsan M, Ahmad O, Sabhan L, Saeed M, Ahmed S, Iftikhar S, Ain N. Transforming healthcare with large language models: Current applications, challenges, and future directions—a literature review. Journal of Intelligent Medicine 2025 View