The role of large language models in the diagnosis and management of obstetric patients: a pilot feasibility study using simulated obstetric cases.

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Title: The role of large language models in the diagnosis and management of obstetric patients: a pilot feasibility study using simulated obstetric cases.
Authors: Psilopatis I; Department of Gynecology and Obstetrics, University Hospital Basel, University of Basel, Basel, Switzerland. iason.psilopatis@usb.ch., Redling K; Department of Gynecology and Obstetrics, University Hospital Basel, University of Basel, Basel, Switzerland., Filippi V; Department of Gynecology and Obstetrics, University Hospital Basel, University of Basel, Basel, Switzerland., Kappos S; Department of Gynecology and Obstetrics, University Hospital Basel, University of Basel, Basel, Switzerland., Emons J; Department of Gynecology and Obstetrics, Universitätsklinikum Erlangen, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany., Mosimann B; Department of Gynecology and Obstetrics, University Hospital Basel, University of Basel, Basel, Switzerland., Zwimpfer TA; Department of Gynecology and Obstetrics, University Hospital Basel, University of Basel, Basel, Switzerland.; Department of Biomedicine, University Hospital and University of Basel, Basel, Switzerland.
Source: Archives of gynecology and obstetrics [Arch Gynecol Obstet] 2026 Apr 27; Vol. 313 (1). Date of Electronic Publication: 2026 Apr 27.
Publication Type: Journal Article
Journal Info: Publisher: Springer Verlag Country of Publication: Germany NLM ID: 8710213 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-0711 (Electronic) Linking ISSN: 09320067 NLM ISO Abbreviation: Arch Gynecol Obstet Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1432-0711
DOI:10.1007/s00404-026-08423-1