{"paper_id":"228d6632-0c73-4a4b-82bc-dd2a30c2d19d","body_text":"Artificial intelligence in the prospective management of endometriosis: a primary tool or an auxiliary option?\nRapid 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.\nKey words: endometriosis, artificial intelligence, predictive models, dienogest\nFor 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","source_license":"CC0","license_restricted":false}