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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 .
Doctor consults with elderly female patient in clinic examination room

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

  1. De Robina Duhart P. ¿Prejuicios en la IA? Análisis del sesgo algorítmico y una propuesta de solución. Medicina y Ética 2025;36(4):1293 View
  2. Barbosa da Silva Jr J, Birminghamm M, Rivière Cinnamond A, Boisson E, Valdez M, Garcia Saiso S, Souza J, Marti M, Richards L, Guzman J, Nelson J, Pesce K, Haddad A, Fitzgerald J, Bascolo E, D'Agostino M. Bias-Mitigated AI as a Foundation for Resilient and Effective Health Systems. JMIR Public Health and Surveillance 2026;12:e88457 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;41(7):1957 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
  6. Ebo T, Osunmakinde A, Asaolu A, Ebo D, Egbon E, Olawade D. Automating inequity: how artificial intelligence reproduces systemic failures in patient safety for marginalized communities. AI & SOCIETY 2026;41(6):6221 View
  7. Avalos O, Contreras M, Pérez-Padilla N, Gálvez J. A unsupervised data-driven characterization of cardiovascular disease by self-organizing maps (SOM) approach. Health Information Science and Systems 2026;14(1) View
  8. Krivonosov M, Avdeenko N, Ivashkin K, Blyuss O, Munblit D. Asymmetric generalisation and robustness of machine learning architectures in complex biological systems: The case of pancreatic ductal adenocarcinoma. Chaos, Solitons & Fractals 2026;209:118549 View
  9. Nona P, Firos J, Zografos C, Schuuring M, Bhatt A, Andrikopoulou E. Smart Technology, Fragile Hearts: Navigating AI’s Challenges and Limitations in Heart Failure Management. Current Heart Failure Reports 2026;23(1) View
  10. Kulkarni A, Visweswaran S. Achieving Equity in Generative Artificial Intelligence in Cardiovascular Medicine. JACC: Advances 2026;5(8):102967 View
  11. Yang L, Ning B, Hu D, Xiong H, Ge T, Fan X, Zou R. Machine learning algorithms for predicting perioperative myocardial injury in elderly patients: a comparative review. Current Opinion in Physiology 2026;50:100987 View
  12. Irawan A, Khasawneh M, Sa’ad M. The missing sex and gender lens in artificial-intelligence-enabled resuscitation. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 2026;34(1) View
  13. Leivaditis V, Mulita F, Androutsopoulou V, Mitsos S, Tomos P, Panagiotopoulos I, Nikolakopoulos K, Liolis E, Skoura T, Koletsis E. Artificial Intelligence and the Ethical Foundations of Cardiothoracic Surgery: Evidence, Accountability, and the Limits of Delegated Judgment. Medical Sciences 2026;14(5):586 View
  14. Abbasi A, Moradikor N. Sex Differences in Machine Learning Models for Multimodal Biomarker-Based Diagnosis and Prognosis of Alzheimer’s Disease. OBM Neurobiology 2026;010(04):1 View