Large Language Model Influence on Diagnostic Reasoning: A Randomized Clinical Trial

IMPORTANCE: Large language models (LLMs) have shown promise in their performance on both multiple-choice and open-ended medical reasoning examinations, but it remains unknown whether the use of such tools improves physician diagnostic reasoning. OBJECTIVE: To assess the effect of an LLM on physician...

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Bibliographic Details
Published in:	JAMA Network Open Vol. 7; no. 10; p. e2440969
Main Authors:	Goh, Ethan, Gallo, Robert, Hom, Jason, Strong, Eric, Weng, Yingjie, Kerman, Hannah, Cool, Joséphine A, Kanjee, Zahir, Parsons, Andrew S, Ahuja, Neera, Horvitz, Eric, Yang, Daniel, Milstein, Arnold, Olson, Andrew P. J, Rodman, Adam, Chen, Jonathan H
Format:	Journal Article
Language:	English
Published:	United States American Medical Association 01.10.2024
Subjects:	Adult Clinical Competence - statistics & numerical data Clinical Reasoning Clinical trials Female Health Informatics Humans Language Large language models Male Multiple choice Online Only Original Investigation Physicians - psychology Physicians - statistics & numerical data Single-Blind Method
ISSN:	2574-3805, 2574-3805
Online Access:	Get full text
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