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...

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Detalhes bibliográficos

Principais autores:	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
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2024-10-01
coleção:	Journal of Experimental Orthopaedics
Assuntos:	ChatGPT information retrieval large language model LLM total shoulder arthroplasty
Acesso em linha:	https://doi.org/10.1002/jeo2.70114
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