Artificial intelligence in obstetrics and gynecology: Evaluating ChatGPT and Google Gemini in answering patient questions.

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Bibliographic Details
Title: Artificial intelligence in obstetrics and gynecology: Evaluating ChatGPT and Google Gemini in answering patient questions.
Authors: West M; Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas, USA., Alsaidi A; Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas, USA., Siddiqi R; Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas, USA., Sayyed F; Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas, USA., Counts R; Department of Obstetrics & Gynecology, The University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA., Quinto L; Department of Obstetrics & Gynecology, The University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA., Stansbury N; Department of Obstetrics & Gynecology, The University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Source: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics [Int J Gynaecol Obstet] 2026 Apr; Vol. 173 (1), pp. 328-335. Date of Electronic Publication: 2025 Oct 28.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 0210174 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-3479 (Electronic) Linking ISSN: 00207292 NLM ISO Abbreviation: Int J Gynaecol Obstet Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-3479
DOI:10.1002/ijgo.70622