The Impact of Artificial Intelligence on Women's Cardiovascular Disease Care

To review current artificial intelligence (AI) applications impacting cardiovascular disease care in women.

Women differ from men in cardiovascular anatomy, physiology, presentation, and treatment response, yet face disparities due to underrepresentation in trials and referral bias. AI applications offer promising tools to close these gaps by enhancing screening, diagnosis, monitoring, and treatment. This review explores female representation, outcomes, and future directions in AI-driven advancements in coronary artery disease, heart failure with preserved ejection fraction, valvular heart disease, ischemic and nonischemic cardiomyopathies, including peripartum cardiovascular disease. AI holds the potential to transform cardiovascular disease care in women by leveraging multidimensional datasets for sex-specific screening, risk prediction, prognostic phenomapping and therapeutic decision support. Expanding female representation and integrating sex-specific factors in AI research are essential to minimize bias, ensure robust external validation and enable equitable, scalable implementation.