Evaluation of the accuracy and readability of large language model responses on menopause and hormone therapy
LLMs demonstrated limited accuracy and frequent incorrect or incomplete responses to menopause-related queries, highlighting the need to improve model performance to ensure accurate and reliable information for both patients and clinicians.
Authors
- Monica Christmas (ORCID: https://orcid.org/0000-0001-9640-2992)
- Chrisandra Shufelt (ORCID: https://orcid.org/0000-0001-6886-9210)
- Stephanie S. Faubion (ORCID: https://orcid.org/0000-0001-9341-7726)
- Nancy Safwan (ORCID: https://orcid.org/0009-0006-5520-1813)
- J H Karam
- Ekta Kapoor
Institutions
- Mayo Clinic (US)
- WinnMed (US)
- University of Chicago (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- Menopause The Journal of The North American Menopause Society
- Published
- 2025-12-02
- DOI
- https://doi.org/10.1097/gme.0000000000002695
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00