Artificial intelligence in endometriosis care: A comparative analysis of large language model and human specialist responses to endometriosis-related queries.

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Bibliographic Details
Title: Artificial intelligence in endometriosis care: A comparative analysis of large language model and human specialist responses to endometriosis-related queries.
Authors: Burla L; Department of Gynecology, University Hospital of Zurich, Zurich, Switzerland. Electronic address: laurinburla@hotmail.com., Metzler JM; Department of Gynecology, University Hospital of Zurich, Zurich, Switzerland., Kalaitzopoulos DR; Department of Gynecology and Obstetrics, Hospital Schaffhausen, Schaffhausen, Switzerland., Kamm S; Department of Gynecology and Obstetrics, Hospital Limmattal, Schlieren, Switzerland., Ormos M; Department of Gynecology and Obstetrics, Hospital Baden, Baden, Switzerland., Passweg D; Department of Gynecology and Obstetrics, City Hospital Zurich, Triemli, Zurich, Switzerland., Schraag S; Women's Health Clinic, Frau im Zentrum, Zurich, Switzerland., Samartzis EP; Department of Gynecology, University Hospital of Zurich, Zurich, Switzerland., Samartzis N; Department of Gynecology and Obstetrics, Hospital Schaffhausen, Schaffhausen, Switzerland., Witzel I; Department of Gynecology, University Hospital of Zurich, Zurich, Switzerland., Imesch P; Department of Gynecology, University Hospital of Zurich, Zurich, Switzerland; Clinic for Gynecology, Bethanien Hospital, Zurich, Switzerland.
Source: European journal of obstetrics, gynecology, and reproductive biology [Eur J Obstet Gynecol Reprod Biol] 2025 Sep; Vol. 313, pp. 114625. Date of Electronic Publication: 2025 Aug 05.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 0375672 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7654 (Electronic) Linking ISSN: 03012115 NLM ISO Abbreviation: Eur J Obstet Gynecol Reprod Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-7654
DOI:10.1016/j.ejogrb.2025.114625