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针对偏头痛患者教育的最先进大型语言模型基准测试：对常见查询的响应性能比较。

Benchmarking State-of-the-Art Large Language Models for Migraine Patient Education: Performance Comparison of Responses to Common Queries.

机构信息

Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China.

Department of Internal Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China.

出版信息

J Med Internet Res. 2024 Jul 23;26:e55927. doi: 10.2196/55927.

DOI:10.2196/55927
PMID:38828692
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11303883/
Abstract

This study assessed the potential of large language models (OpenAI's ChatGPT 3.5 and 4.0, Google Bard, Meta Llama2, and Anthropic Claude2) in addressing 30 common migraine-related queries, providing a foundation to advance artificial intelligence-assisted patient education and insights for a holistic approach to migraine management.

摘要

本研究评估了大型语言模型（OpenAI 的 ChatGPT 3.5 和 4.0、Google Bard、Meta Llama2 和 Anthropic Claude2）在回答 30 个常见偏头痛相关问题方面的潜力，为推进人工智能辅助患者教育以及整体偏头痛管理方法提供了基础和见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7313/11303883/47d2df65c858/jmir_v26i1e55927_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7313/11303883/47d2df65c858/jmir_v26i1e55927_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7313/11303883/47d2df65c858/jmir_v26i1e55927_fig1.jpg

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本文引用的文献

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Large language models encode clinical knowledge.大语言模型编码临床知识。
Nature. 2023 Aug;620(7972):172-180. doi: 10.1038/s41586-023-06291-2. Epub 2023 Jul 12.
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Diagnostic accuracy of an artificial intelligence online engine in migraine: A multi-center study.
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J Med Internet Res. 2025 Apr 28;27:e70703. doi: 10.2196/70703.
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Front Med (Lausanne). 2024 Oct 29;11:1477898. doi: 10.3389/fmed.2024.1477898. eCollection 2024.
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The Role of Artificial Intelligence in the Primary Prevention of Common Musculoskeletal Diseases.人工智能在常见肌肉骨骼疾病一级预防中的作用
Cureus. 2024 Jul 25;16(7):e65372. doi: 10.7759/cureus.65372. eCollection 2024 Jul.
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