Published on in Vol 26 (2024)

This is a member publication of University College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46936, first published .
Sex-Based Performance Disparities in Machine Learning Algorithms for Cardiac Disease Prediction: Exploratory Study

Sex-Based Performance Disparities in Machine Learning Algorithms for Cardiac Disease Prediction: Exploratory Study

Sex-Based Performance Disparities in Machine Learning Algorithms for Cardiac Disease Prediction: Exploratory Study

Authors of this article:

Isabel Straw1 Author Orcid Image ;   Geraint Rees1 Author Orcid Image ;   Parashkev Nachev1 Author Orcid Image

Journals

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  2. Barbosa da Silva Jr J, Birminghamm M, Rivière Cinnamond A, Boisson E, Valdez M, Garcia Saiso S, Souza J, Marti M, Leah-Marie Richards L, Guzman J, Nelson J, Pesce K, Haddad A, Fitzgerald J, Bascolo E, Dagostino M. Bias-Mitigated AI as a Foundation for Resilient and Effective Health Systems (Preprint). JMIR Public Health and Surveillance 2025 View
  3. Bai B, Liu X, Li H. Federated multimodal AI for precision-equitable diabetes care. Frontiers in Digital Health 2026;7 View
  4. Adegunle F, Chhatwal K, Arab S, Alabdaljabar M, Raslan M, Sayed O, Goldsweig A. Bias and Oversight in Clinical AI: A Review of Decision Support Tools and Equity Frameworks. Journal of General Internal Medicine 2026 View
  5. Magouliotis D, Sicouri N, Ramlawi L, Baudo M, Androutsopoulou V, Sicouri S. Artificial Intelligence in Adult Cardiovascular Medicine and Surgery: Real-World Deployments and Outcomes. Journal of Personalized Medicine 2026;16(2):69 View