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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Bibliographic Details

Published in:	Journal of Experimental Orthopaedics
Main Authors:	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:	Article
Language:	English
Published:	Wiley 2024-10-01
Subjects:	ChatGPT information retrieval large language model LLM total shoulder arthroplasty
Online Access:	https://doi.org/10.1002/jeo2.70114