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

Research Letter (57) e-Learning and Digital Medical Education (902) Generative Language Models Including ChatGPT (708) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Consumer & Patient Education and Shared-Decision Making (862) Quality/Credibility of eHealth Information and Trust Issues (654) Information Seeking, Information Needs (561) Theme Issue 2023: Exploring the Intersection Between Health Information, Misinformation, and Generative AI Technologies (10)

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 (7) Tweetations Metrics

Journals

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