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Review
. 2025 Sep;171 Suppl 1(Suppl 1):199-209.
doi: 10.1002/ijgo.70094. Epub 2025 Apr 25.

Artificial intelligence in the diagnosis and management of gynecologic cancer

Chaiyawut Paiboonborirak  1 , Nadeem R Abu-Rustum  2   3 , Sarikapan Wilailak  4
Affiliations
Review

Artificial intelligence in the diagnosis and management of gynecologic cancer

Chaiyawut Paiboonborirak et al. Int J Gynaecol Obstet. 2025 Sep.

Abstract

Gynecologic cancers affect over 1.2 million women globally each year. Early diagnosis and effective treatment are essential for improving patient outcomes, yet traditional diagnostic methods often encounter limitations, particularly in low-resource settings. Artificial intelligence (AI) has emerged as a transformative tool that enhances accuracy and efficiency across various aspects of gynecologic oncology, including screening, diagnosis, and treatment. This review examines the current applications of AI in gynecologic cancer care, focusing on areas such as early detection, imaging, personalized treatment planning, and patient monitoring. Based on an analysis of 75 peer-reviewed articles published between 2017 and 2024, we highlight AI's contributions to cervical, ovarian, and endometrial cancer management. AI has notably improved early detection, achieving up to 95% accuracy in cervical cancer screening through AI-enhanced Pap smear analysis and colposcopy. For ovarian and endometrial cancers, AI-driven imaging and biomarker detection have enabled more personalized treatment approaches. In addition, AI tools have enhanced precision in robotic-assisted surgery and radiotherapy, and AI-based histopathology has reduced diagnostic variability. Despite these advancements, challenges such as data privacy, bias, and the need for human oversight must be addressed. The successful integration of AI into clinical practice will require careful consideration of ethical issues and a balanced approach that incorporates human expertise. Overall, AI presents significant potential to improve outcomes in gynecologic oncology, particularly in bridging healthcare gaps in resource-limited settings.

Keywords: artificial intelligence; cervical cancer; diagnostic imaging; early detection; endometrial cancer; gynecologic oncology; ovarian cancer; personalized medicine; robotic surgery.

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Conflict of interest statement

NRA‐R reports grants from GRAIL paid to his institution.

Figures

FIGURE 1
FIGURE 1
A snapshot of AI's development. AI, artificial intelligence; GPT, generative pre‐trained transformer.
See this image and copyright information in PMC

References

    1. Singh D, Vignat J, Lorenzoni V, et al. Global estimates of incidence and mortality of cervical cancer in 2020: a baseline analysis of the WHO global cervical cancer elimination initiative. Lancet Glob Health. 2023;11(2):e197‐e206. - PMC - PubMed
    1. Bray F, Laversanne M, Sung H, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024;74(3):229‐263. - PubMed
    1. Jiang F, Jiang Y, Zhi H, et al. Artificial intelligence in healthcare: past, present and future. Stroke Vasc Neurol. 2017;2(4):230‐243. doi: 10.1136/svn-2017-000101 - DOI - PMC - PubMed
    1. Esteva A, Robicquet A, Ramsundar B, et al. A guide to deep learning in healthcare. Nat Med. 2019;25(1):24‐29. - PubMed
    1. Buchanan B. A (very) brief history of artificial intelligence. AI Mag. 2005;26(4):53‐60.

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