Effectiveness of a large language model for clinical information retrieval regarding shoulder arthroplasty

Abstract Purpose To determine the scope and accuracy of medical information provided by ChatGPT‐4 in response to clinical queries concerning total shoulder arthroplasty (TSA), and to compare these results to those of the Google search engine. Methods A patient‐replicated query for ‘total shoulder re...

Description complète

Détails bibliographiques

Auteurs principaux:	Jacob F. Oeding, Amy Z. Lu, Michael Mazzucco, Michael C. Fu, David M. Dines, Russell F. Warren, Lawrence V. Gulotta, Joshua S. Dines, Kyle N. Kunze
Format:	Artigo
Langue:	Inglês
Publié:	Wiley 2024-10-01
Collection:	Journal of Experimental Orthopaedics
Sujets:	ChatGPT information retrieval large language model LLM total shoulder arthroplasty
Accès en ligne:	https://doi.org/10.1002/jeo2.70114
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!