Benchmarking State-of-the-Art Large Language Models for Migraine Patient Education: Performance Comparison of Responses to Common Queries-Reference-Cited by-同舟云学术

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

Published:2024-07-23 Issue: Volume:26 Page:e55927
ISSN:1438-8871
Container-title:Journal of Medical Internet Research
language:en
Short-container-title:J Med Internet Res

Author:

Li Linger^ORCID,Li Pengfei^ORCID,Wang Kun^ORCID,Zhang Liang^ORCID,Ji Hongwei^ORCID,Zhao Hongqin^ORCID

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.

Publisher

JMIR Publications Inc.

Reference9 articles.

1. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

2. Migraine: epidemiology and systems of care

3. Burden of Neurological Disorders Across the US From 1990-2017

4. Large language models encode clinical knowledge

5. Headache Classification Committee of the International Headache Society (IHS) The International Classification of Headache Disorders, 3rd edition

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1. The Role of Artificial Intelligence in the Primary Prevention of Common Musculoskeletal Diseases;Cureus;2024-07-25

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