Breaking language barriers: evaluating AI translation for urogynecology patient education.

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Bibliographic Details
Title:	Breaking language barriers: evaluating AI translation for urogynecology patient education.
Authors:	Roberts BL; Division of Urogynecology, Department of Obstetrics and Gynecology, Albany Medical Center, Albany, NY, USA - Robertb5@amc.edu., Carlton CE; Division of Urogynecology, Department of Obstetrics and Gynecology, Albany Medical Center, Albany, NY, USA., Leong KA; Division of Urogynecology, Department of Obstetrics and Gynecology, Albany Medical Center, Albany, NY, USA., Deverdis EC; Division of Urogynecology, Department of Obstetrics and Gynecology, Albany Medical Center, Albany, NY, USA., Rogers RG; Division of Urogynecology, Department of Obstetrics and Gynecology, Albany Medical Center, Albany, NY, USA., Feustel PJ; Department of Neuroscience and Experimental Therapeutics, Albany Medical Center, Albany, NY, USA., Jacobs BE; Division of Urogynecology, Department of Obstetrics and Gynecology, Albany Medical Center, Albany, NY, USA.
Source:	Minerva obstetrics and gynecology [Minerva Obstet Gynecol] 2026 Feb; Vol. 78 (1), pp. 28-32. Date of Electronic Publication: 2025 Dec 01.
Publication Type:	Journal Article; Randomized Controlled Trial
Journal Info:	Publisher: Edizioni Minerva Medica Country of Publication: Italy NLM ID: 101777346 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2724-6450 (Electronic) Linking ISSN: 2724606X NLM ISO Abbreviation: Minerva Obstet Gynecol Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	2724-6450
DOI:	10.23736/S2724-606X.25.05776-8