This paper is in the following e-collection/theme issue:

Research Letter (45) e-Learning and Digital Medical Education (762) Generative Language Models Including ChatGPT (433) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1517) Consumer & Patient Education and Shared-Decision Making (745) Quality/Credibility of eHealth Information and Trust Issues (584) Information Seeking, Information Needs (516) Theme Issue 2023: Exploring the Intersection Between Health Information, Misinformation, and Generative AI Technologies (7)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55927, first published .
Benchmarking State-of-the-Art Large Language Models for Migraine Patient Education: Performance Comparison of Responses to Common Queries

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

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

Authors of this article:

Linger Li1 Author Orcid Image ;   Pengfei Li2 Author Orcid Image ;   Kun Wang1 Author Orcid Image ;   Liang Zhang1 Author Orcid Image ;   Hongwei Ji3, 4 Author Orcid Image ;   Hongqin Zhao1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Yilmaz Muluk S, Olcucu N. The Role of Artificial Intelligence in the Primary Prevention of Common Musculoskeletal Diseases. Cureus 2024 View
  2. Aydin S, Karabacak M, Vlachos V, Margetis K. Large language models in patient education: a scoping review of applications in medicine. Frontiers in Medicine 2024;11 View
  3. Lee W, Chu M. The Current Role of Artificial Intelligence in the Field of Headache Disorders, with a Focus on Migraine: A Systemic Review. Headache and Pain Research 2025;26(1):48 View