%0 Journal Article
%@ 1438-8871
%I JMIR Publications
%V 26
%N 
%P e55927
%T Benchmarking State-of-the-Art Large Language Models for Migraine Patient Education: Performance Comparison of Responses to Common Queries
%A Li,Linger
%A Li,Pengfei
%A Wang,Kun
%A Zhang,Liang
%A Ji,Hongwei
%A Zhao,Hongqin
%+ Department of Neurology, The Affiliated Hospital of Qingdao University, No. 59 Haier Road, Qingdao, 266035, China, 86 13864873935, zhaohongq@qdu.edu.cn
%K migraine
%K large language models
%K patient education
%K ChatGPT
%K Google Bard
%K language model
%K patient education
%K education
%K headache
%K accuracy
%K OpenAI
%K AI
%K artificial intelligence
%K AI-assisted
%K holistic
%K migraine management
%K management
%D 2024
%7 23.7.2024
%9 Research Letter
%J J Med Internet Res
%G English
%X 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.
%R 10.2196/55927
%U https://www.jmir.org/2024/1/e55927
%U https://doi.org/10.2196/55927