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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Vydané v:	JAMA Network Open Ročník 7; číslo 10; s. e2440969
Hlavní autori:	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
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States American Medical Association 01.10.2024
Predmet:	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
On-line prístup:	Získať plný text
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