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Benchmarking State-of-the-Art Large Language Models for Migraine Patient Education: Performance Comparison of Responses to Common Queries.
Li, Linger; Li, Pengfei; Wang, Kun; Zhang, Liang; Ji, Hongwei; Zhao, Hongqin.
Affiliation
  • Li L; Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Li P; Department of Internal Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Wang K; Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Zhang L; Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Ji H; Tsinghua Medicine, Tsinghua University, Beijing, China.
  • Zhao H; Department of Internal Medicine, Beijing Tsinghua Changgung Hospital, Beijing, China.
J Med Internet Res ; 26: e55927, 2024 Jul 23.
Article in En | MEDLINE | ID: mdl-38828692
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Patient Education as Topic / Benchmarking / Migraine Disorders Limits: Humans Language: En Journal: J Med Internet Res Journal subject: INFORMATICA MEDICA Year: 2024 Document type: Article Affiliation country: Country of publication:
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Patient Education as Topic / Benchmarking / Migraine Disorders Limits: Humans Language: En Journal: J Med Internet Res Journal subject: INFORMATICA MEDICA Year: 2024 Document type: Article Affiliation country: Country of publication: