Breaking language barriers: evaluating AI translation for urogynecology patient education
Original and back-translated versions of Mandarin Chinese or Swahili MUS IUGA leaflets did not score differently on the PEMAT although we did not meet the non-inferiority margin. CL and SI support Google translate as a moderately useful tool in providing IUGA leaflets in languages not commonly available.
Authors
- Paul J. Feustel (ORCID: https://orcid.org/0000-0002-6963-4349)
- Rebecca G. Rogers (ORCID: https://orcid.org/0000-0002-3991-7348)
- K. Leong
- Erin C Deverdis
- Brittany L Roberts
- Bart Jacobs (ORCID: https://orcid.org/0000-0002-1218-157X)
- C. Carlton
Institutions
- Albany Medical Center Hospital (US)
Publication Details
- Journal
- Minerva Obstetrics and Gynecology
- Published
- 2025-12-01
- DOI
- https://doi.org/10.23736/s2724-606x.25.05776-8
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00