Advances in AI for women's health, reproductive health, and maternal care: bridging innovation and healthcare

Artificial intelligence (AI) has emerged as a powerful approach to address a wide range of healthcare challenges specific to women. This Collection aims to publish cutting-edge research and advances in AI-driven technologies related to women's health, reproductive health, and maternal care. AI methodologies encompass machine learning algorithms, deep neural networks, natural language processing, large language models, federated learning, generative AI, and reinforcement learning. These methodologies enable the development of innovative tools that augment clinical decision-making and empower women to monitor their health, providing real-time insights and early intervention opportunities in home and hospital settings. 

Topics for this Collection will include, but are not limited to:

• Women’s mental health and wellness
• Prenatal, intrapartum, and postpartum care
• Diagnosis and treatment of infertility, including embryo selection, genetic testing, and decision-support tools  
• Chronic disease management for women
• Early detection, diagnosis, and treatment of cancer in women 
• Exploring the impact of climate change on women's and maternal health
• Racial, ethnic, and geographic disparities in women's health, sexual and reproductive health, and maternal care, including research in low- and middle-income countries
• Challenges and opportunities in LGBTQ+ women's health
• Ensuring fairness: addressing and mitigating sex and gender bias in AI models

We welcome submissions of any paper focused on AI-driven approaches to improve women's health throughout the life-course, including clinical and basic research studies, applications using real-world evidence, and case studies of successful implementation. We will highlight relevant papers in this Collection along with other content types, such as Comments and Perspectives, that provide important insight into addressing challenges related to AI for women’s health, reproductive health, and maternal care.