AI for Women's Health: Framework and Focus Areas

AI for women's health is an open challenge that needs to be addressed by cross-disciplinary efforts. There is an urgent need to establish a new type of collaboration that focuses on integrating and adopting AI methods in healthcare to bridge the gap between the aspiration to apply AI across all aspects of women's health and its practical adoption in everyday clinical practice. This is particularly important for women's health where we know there have been significant lags in finding innovative ways to manage prevalent and burdensome health issues that are experienced proportionately more or only by females across their life courses. This position paper will present our initial development including a comprehensive framework, a high-level methodology and main focus areas of advanced AI for Women's Health. The research aims to support women's health services worldwide by providing new tools and novel applications to improve women's health system efficiency and personalized medicine.

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Published
2025-05-08
DOI
https://doi.org/10.1145/3701716.3718981
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

AI for Women's Health: Framework and Focus Areas

Kezhi Lu, Angela J Dawson, Guodong Long, Fahimeh Ramezani et al.
Artificial Intelligence in Healthcare and Education
article

AI for Women's Health: Framework and Focus Areas

Kezhi Lu, Angela J Dawson, Guodong Long, Fahimeh Ramezani, Deborah J. Fox, Debra Anderson, Kathleen Baird, Susan Morton, Kairui Guo, Zelia Soo, Jie Lü
article en

Abstract

AI for women's health is an open challenge that needs to be addressed by cross-disciplinary efforts. There is an urgent need to establish a new type of collaboration that focuses on integrating and adopting AI methods in healthcare to bridge the gap between the aspiration to apply AI across all aspects of women's health and its practical adoption in everyday clinical practice. This is particularly important for women's health where we know there have been significant lags in finding innovative ways to manage prevalent and burdensome health issues that are experienced proportionately more or only by females across their life courses. This position paper will present our initial development including a comprehensive framework, a high-level methodology and main focus areas of advanced AI for Women's Health. The research aims to support women's health services worldwide by providing new tools and novel applications to improve women's health system efficiency and personalized medicine.

University of Technology Sydney (AU)
Gender equality
Openalex Percentile: Top 93%
Artificial Intelligence in Healthcare and Education
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