Development and Evaluation of an Augmented Artificial Intelligence Model for Urogynecology Queries
Grounding AI tools in vetted patient education materials significantly improved the quality of ChatGPT-generated responses in urogynecology. Retrieval-augmented models offer a promising approach to enhance patient education and promote patient-centered care.
Authors
- Madeline K. Moureau (ORCID: https://orcid.org/0000-0002-3539-9707)
- Christopher X. Hong (ORCID: https://orcid.org/0000-0003-1294-4132)
- Bruce H. Davis (ORCID: https://orcid.org/0000-0002-0036-5742)
Institutions
- University of Michigan (US)
- Ann Arbor VA Medical Center (US)
Publication Details
- Journal
- International Urogynecology Journal
- Published
- 2025-12-09
- DOI
- https://doi.org/10.1007/s00192-025-06446-x
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00