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Current Cardiology Reports

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

Published in:
Authors
Jina Chung
Jenica Thangathurai
Sharon Andrade-Bucknor
Susmita Parashar
Karina Gonzalez Carta
Marc Epp
Carol Ma
Published in
Current Cardiology Reports | Issue 1/2025

Abstract

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.
Title
The Impact of Artificial Intelligence on Women’s Cardiovascular Disease Care
Authors
Jina Chung
Jenica Thangathurai
Sharon Andrade-Bucknor
Susmita Parashar
Karina Gonzalez Carta
Marc Epp
Carol Ma
Publication date
01-12-2025
Publisher
Springer US
Published in
Current Cardiology Reports / Issue 1/2025
Print ISSN: 1523-3782
Electronic ISSN: 1534-3170
DOI
https://doi.org/10.1007/s11886-025-02250-7
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This content is intended for healthcare professionals outside of the UK.

Independent Medical Education Grant:
  • Bayer HealthCare Pharmaceuticals Inc.
Learn more Link opens in a new window
Image Credits
Abstract graphic of layered, concentric circular shapes in bright green, pink, blue, and purple on a dark blue background. The rings and segments form a complex radial pattern without text/© Springer Health+ IME