比较 ChatGPT GPT-4、Bard 和 Llama-2 在台湾精神科执照考试中的表现，以及与多中心精神科医生在鉴别诊断中的表现

IF 5 3区医学 Q1 CLINICAL NEUROLOGY Psychiatry and Clinical Neurosciences Pub Date : 2024-02-26 DOI:10.1111/pcn.13656

Dian-Jeng Li, Yu-Chen Kao, Shih-Jen Tsai, Ya-Mei Bai, Ta-Chuan Yeh, Che-Sheng Chu, Chih-Wei Hsu, Szu-Wei Cheng, Tien-Wei Hsu, Chih-Sung Liang, Kuan-Pin Su

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引用次数: 0

摘要

大型语言模型（LLMs）被认为可以在医学教育和医疗实践中发挥作用。然而，它们在精神病学领域的应用潜力还没有得到很好的研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Comparing the performance of ChatGPT GPT-4, Bard, and Llama-2 in the Taiwan Psychiatric Licensing Examination and in differential diagnosis with multi-center psychiatrists

Large language models (LLMs) have been suggested to play a role in medical education and medical practice. However, the potential of their application in the psychiatric domain has not been well-studied.

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来源期刊

Psychiatry and Clinical Neurosciences 医学-精神病学

CiteScore

7.40

自引率

4.20%

发文量

181

审稿时长

6-12 weeks

期刊介绍： PCN (Psychiatry and Clinical Neurosciences) Publication Frequency: Published 12 online issues a year by JSPN Content Categories: Review Articles Regular Articles Letters to the Editor Peer Review Process: All manuscripts undergo peer review by anonymous reviewers, an Editorial Board Member, and the Editor Publication Criteria: Manuscripts are accepted based on quality, originality, and significance to the readership Authors must confirm that the manuscript has not been published or submitted elsewhere and has been approved by each author