Artificial Intelligence-Supported Applications for Women's Health
Chapter from the book: Koç, O. (ed.) 2025. Empowered by Technology: Women, Knowledge, and Digital Transformation.

Naciye Kaya
Balıkesir University

Synopsis

Artificial intelligence is an innovative technology that has rapidly developed in the healthcare field in recent years and is transforming patient care processes. One of the areas most affected by this transformation is women's health, which has a unique structure influenced by biological, hormonal, and social factors. Infertility, gynecological and oncological diseases, sexual health problems, pregnancy and childbirth, and menopause, which occur at different stages of a woman's life cycle, are among the fundamental health areas that directly affect women's quality of life. The use of artificial intelligence-supported applications in these areas contributes significantly across a wide range of fields, from early diagnosis and risk prediction to the creation of personalized treatment plans, from the prevention of complications to the more effective management of care services. Artificial intelligence applications increase the accuracy of imaging techniques, strengthen clinical decision support systems with big data analysis, and pave the way for patient-centered care. Notable examples in this field include the evaluation of tumor images in gynecological cancers, early diagnosis of fetal anomalies during pregnancy, and the development of individualized treatment options in reproductive health. However, ethical considerations, data security, privacy, and gender equality are critical dimensions in the integration of artificial intelligence into women's health. The integration of artificial intelligence into women's health will not only improve clinical outcomes but also contribute to making healthcare services for women more inclusive, reliable, and effective.

How to cite this book

Kaya, N. (2025). Artificial Intelligence-Supported Applications for Women's Health. In: Koç, O. (ed.), Empowered by Technology: Women, Knowledge, and Digital Transformation. Özgür Publications. DOI: https://doi.org/10.58830/ozgur.pub917.c3821

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Published

October 23, 2025

DOI