Influence of a Large Language Model on Diagnostic Reasoning: A Randomized Clinical Vignette Study.

ABSTRACT:

Importance

Diagnostic errors are common and cause significant morbidity. 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 diagnostic reasoning.

Objective

To assess the impact of the GPT-4 LLM on physicians' diagnostic reasoning compared to conventional resources.

Design

Multi-center, randomized clinical vignette study.

Setting

The study was conducted using remote video conferencing with physicians across the country and in-person participation across multiple academic medical institutions.

Participants

Resident and attending physicians with training in family medicine, internal medicine, or emergency med

SUBMITTER: Goh E 

PROVIDER: S-EPMC10980135 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature