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