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Purpose of Review <p>To review current artificial intelligence (AI) applications impacting cardiovascular disease care in women.</p> Recent Findings <p>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.</p> Summary <p>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.</p>

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

  • 期刊论文

  • 发表日期：

    2025年6月20日

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  • Jina Chung,
  • Jenica Thangathurai,
  • Sharon Andrade-Bucknor,
  • Susmita Parashar,
  • Karina Gonzalez Carta,
  • Marc Epp,
  • Carol Ma

摘要

Purpose of Review

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

Recent Findings

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.

Summary

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.