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

Formative Evaluation of Digital Health Interventions (3452) Insomnia and Sleep Hygiene (261) Sleep Monitoring, Sleep Quality, Sleep Disorders (285) mHealth for Patient Education (301) Artificial Intelligence (2347) Consumer & Patient Education and Shared-Decision Making (920) Generative Language Models Including ChatGPT (812)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71358, first published .
Assessment of Recommendations Provided to Athletes Regarding Sleep Education by GPT-4o and Google Gemini: Comparative Evaluation Study

Assessment of Recommendations Provided to Athletes Regarding Sleep Education by GPT-4o and Google Gemini: Comparative Evaluation Study

Assessment of Recommendations Provided to Athletes Regarding Sleep Education by GPT-4o and Google Gemini: Comparative Evaluation Study

Authors of this article:

Lukas Masur1 Author Orcid Image ;   Matthew Driller2 Author Orcid Image ;   Haresh Suppiah2 Author Orcid Image ;   Manuel Matzka3 Author Orcid Image ;   Billy Sperlich3 Author Orcid Image ;   Peter Düking1 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Kim B, Kang J, Jung Y, Ahn J. Generative and Large-Scale Artificial Intelligence in Exercise and Sports Medicine: A Narrative Review. The Asian Journal of Kinesiology 2026;28(1):58 View
  2. Meixner B, Tristram C, Schranner M, Kenner A, Serwe-Pandrick E, Sperlich B, Düking P. A comparison of lessons planned by different publicly available large language models in the context of physical education: an expert survey. Frontiers in Education 2026;11 View