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The Triage and Diagnostic Accuracy of Frontier Large Language Models: Updated Comparison to Physician Performance.

作者信息

Sorich Michael Joseph, Mangoni Arduino Aleksander, Bacchi Stephen, Menz Bradley Douglas, Hopkins Ashley Mark

机构信息

College of Medicine and Public Health, Flinders University, Adelaide, Australia.

Department of Clinical Pharmacology, Southern Adelaide Local Health Network, Adelaide, Australia.

出版信息

J Med Internet Res. 2024 Dec 6;26:e67409. doi: 10.2196/67409.

DOI:10.2196/67409
PMID:39642373
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11662182/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aff4/11662182/5980f613f4c3/jmir_v26i1e67409_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aff4/11662182/5980f613f4c3/jmir_v26i1e67409_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aff4/11662182/5980f613f4c3/jmir_v26i1e67409_fig1.jpg

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本文引用的文献

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The diagnostic and triage accuracy of the GPT-3 artificial intelligence model: an observational study.GPT-3 人工智能模型的诊断和分诊准确性：一项观察性研究。
Lancet Digit Health. 2024 Aug;6(8):e555-e561. doi: 10.1016/S2589-7500(24)00097-9.
2
Triage Performance Across Large Language Models, ChatGPT, and Untrained Doctors in Emergency Medicine: Comparative Study.分诊表现比较：大型语言模型、ChatGPT 和未经训练的急诊医生：一项对比研究。
J Med Internet Res. 2024 Jun 14;26:e53297. doi: 10.2196/53297.
3
Use of a Large Language Model to Assess Clinical Acuity of Adults in the Emergency Department.
使用大型语言模型评估急诊科成人的临床敏锐度。
JAMA Netw Open. 2024 May 1;7(5):e248895. doi: 10.1001/jamanetworkopen.2024.8895.
4
Quality and safety of artificial intelligence generated health information.人工智能生成的健康信息的质量与安全性。
BMJ. 2024 Mar 20;384:q596. doi: 10.1136/bmj.q596.