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

Abstract Objective This feasibility study aimed to assess the potential of freely available large language models (LLMs) to support clinical decision-making in obstetrics. Methods Five fictional obstetric patient cases, encompassing a range of clinical presentations (preeclampsia, fetal growth restr...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Iason Psilopatis, Katharina Redling, Valeria Filippi, Sofia Kappos, Julius Emons, Beatrice Mosimann, Tibor A. Zwimpfer
Format:	Artigo
Sprog:	Inglês
Udgivet:	Springer 2026-04-01
Serier:	Archives of Gynecology and Obstetrics
Fag:	Artificial intelligence Large language model Obstetrics Preeclampsia Fetal growth restriction Preterm rupture of membranes
Online adgang:	https://doi.org/10.1007/s00404-026-08423-1
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!