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Benchmarking Large Language Models for Cervical Spondylosis

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机构： [1]Xuanwu Hospital, Capital Medical University, Beijing, China. [2]Lab of Spinal Cord Injury and Functional Reconstruction, China International Neuroscience Institute, Beijing, China.

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关键词： cervical spondylosis large language model LLM patient ChatGPT

摘要：

Cervical spondylosis is the most common degenerative spinal disorder in modern societies. Patients require a great deal of medical knowledge, and large language models (LLMs) offer patients a novel and convenient tool for accessing medical advice. In this study, we collected the most frequently asked questions by patients with cervical spondylosis in clinical work and internet consultations. The accuracy of the answers provided by LLMs was evaluated and graded by 3 experienced spinal surgeons. Comparative analysis of responses showed that all LLMs could provide satisfactory results, and that among them, GPT-4 had the highest accuracy rate. Variation across each section in all LLMs revealed their ability boundaries and the development direction of artificial intelligence.©Boyan Zhang, Yueqi Du, Wanru Duan, Zan Chen. Originally published in JMIR Formative Research (https://formative.jmir.org), 05.08.2024.

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第一作者机构： [1]Xuanwu Hospital, Capital Medical University, Beijing, China. [2]Lab of Spinal Cord Injury and Functional Reconstruction, China International Neuroscience Institute, Beijing, China.

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通讯机构： [1]Xuanwu Hospital, Capital Medical University, Beijing, China. [2]Lab of Spinal Cord Injury and Functional Reconstruction, China International Neuroscience Institute, Beijing, China. [*1]Xuanwu Hospital Capital Medical University 45 Changchun Street Beijing, 100000 China

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Benchmarking Large Language Models for Cervical Spondylosis

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