Comparative Analysis of Performance of Large Language Models in Urogynecology
(Abstracted from Urogynecology (Phila) 2025;31(7):713–719) Publicly available large language models (LLMs) such as OpenAI’s Chat Generative Pre-Trained Transformer (ChatGPT) and Google’s Bard have transformed language processing across many fields. Some have shown abilities in certain areas such as generating text or images, and others have shown abilities in solving analytical problems in areas such as science or technology.
Authors
- Charles W. Nager (ORCID: https://orcid.org/0000-0002-7295-1628)
- Hadi Erfani (ORCID: https://orcid.org/0000-0002-3001-7992)
- Ghanshyam S. Yadav (ORCID: https://orcid.org/0000-0002-5692-9033)
- Kshitij Pandit (ORCID: https://orcid.org/0009-0003-0105-4430)
- Phillip T. Connell
Institutions
- Anna Needs Neuroblastoma Answers (US)
Publication Details
- Journal
- Obstetrical & Gynecological Survey
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1097/ogx.0000000000001457
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36