Advancing Fairness in Cardiac Care: Strategies for Mitigating Bias in Artificial Intelligence Models Within Cardiology.

MLA

Nolin-Lapalme, Alexis, et al. “Advancing Fairness in Cardiac Care: Strategies for Mitigating Bias in Artificial Intelligence Models Within Cardiology.” The Canadian Journal of Cardiology, vol. 40, no. 10, Oct. 2024, pp. 1907–21. EBSCOhost, https://doi.org/10.1016/j.cjca.2024.04.026.

APA

Nolin-Lapalme, A., Corbin, D., Tastet, O., Avram, R., & Hussin, J. G. (2024). Advancing Fairness in Cardiac Care: Strategies for Mitigating Bias in Artificial Intelligence Models Within Cardiology. The Canadian Journal of Cardiology, 40(10), 1907–1921. https://doi.org/10.1016/j.cjca.2024.04.026

Chicago

Nolin-Lapalme, Alexis, Denis Corbin, Olivier Tastet, Robert Avram, and Julie G Hussin. 2024. “Advancing Fairness in Cardiac Care: Strategies for Mitigating Bias in Artificial Intelligence Models Within Cardiology.” The Canadian Journal of Cardiology 40 (10): 1907–21. doi:10.1016/j.cjca.2024.04.026.