Artificial intelligence in the prospective management of endometriosis: a primary tool or an auxiliary option?

Mekan R. Orazov, V.E. Radzinsky, Evgeny D. Dolgov
2025 · doi:10.20953/1726-1678-2025-2-153-158 · W7083321580
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⚙ AI-generated summary by claude@2026-06, 2026-06-07 ⓘ

This review examines the current and potential applications of artificial intelligence in the diagnosis, prognosis, and treatment strategy selection for endometriosis.

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⚙ AI-generated deep summary by claude@2026-06, 2026-06-07 · read from full text ⓘ

The paper discusses how rapid advances in artificial intelligence are being applied to medicine, focusing on prospective management of endometriosis and evaluating whether AI could function as a primary tool or mainly as an auxiliary decision aid in controversial treatment contexts. It highlights that, despite demonstrated prospects for AI in early diagnosis and prognosis, the authors identify unresolved issues regarding how to choose the most relevant treatment strategy for endometriosis for specific clinical situations. The paper frames endometriosis management as a setting where predictive models and clinical decision-making are still not fully resolved. This paper is centrally about endometriosis — it evaluates artificial intelligence’s prospective role in diagnosis, prognosis, and management decision-making.

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Abstract

Rapid technological development has allowed the creation of artificial intelligence (AI). Currently, researchers are trying to implement its models in various fields of medicine, including gynecology. Is AI a “panacea” or merely a promising decision aid in controversial clinical situations in the management of endometriosis? Despite the demonstrated obvious prospects for using AI in both early diagnosis and prognosis of endometriosis, there are still several unresolved issues regarding the choice of the most relevant treatment strategy for endometriosis depending on the specific clinical situation. Key words: endometriosis, artificial intelligence, predictive models, dienogest
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Artificial intelligence in the prospective management of endometriosis: a primary tool or an auxiliary option? Rapid technological development has allowed the creation of artificial intelligence (AI). Currently, researchers are trying to implement its models in various fields of medicine, including gynecology. Is AI a “panacea” or merely a promising decision aid in controversial clinical situations in the management of endometriosis? Despite the demonstrated obvious prospects for using AI in both early diagnosis and prognosis of endometriosis, there are still several unresolved issues regarding the choice of the most relevant treatment strategy for endometriosis depending on the specific clinical situation. Key words: endometriosis, artificial intelligence, predictive models, dienogest For citation: Orazov M.R., Radzinsky V.E., Dolgov E.D. Artificial intelligence in the prospective management of endometriosis: a primary tool or an auxiliary option? Vopr. ginekol. akus. perinatol. (Gynecology, Obstetrics and Perinatology). 2025; 24(2): 153–158. (In Russian). DOI: 10.20953/1726-1678 2025-2-153-158

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