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

Reviews in Medical Informatics (110) Chatbots and Conversational Agents (716) Natural Language Processing (893) Innovations and Technology for Physical Activity Education (905) Generative Language Models Including ChatGPT (669)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59309, first published .
Using Large Language Models to Enhance Exercise Recommendations and Physical Activity in Clinical and Healthy Populations: Scoping Review

Using Large Language Models to Enhance Exercise Recommendations and Physical Activity in Clinical and Healthy Populations: Scoping Review

Using Large Language Models to Enhance Exercise Recommendations and Physical Activity in Clinical and Healthy Populations: Scoping Review

Authors of this article:

Xiangxun Lai1 Author Orcid Image ;   Jiacheng Chen2 Author Orcid Image ;   Yue Lai3 Author Orcid Image ;   Shengqi Huang2, 4 Author Orcid Image ;   Yongdong Cai4 Author Orcid Image ;   Zhifeng Sun2 Author Orcid Image ;   Xueding Wang2 Author Orcid Image ;   Kaijiang Pan5 Author Orcid Image ;   Qi Gao1 Author Orcid Image ;   Caihua Huang1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

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  3. Parameswaran V, Bernard J, Bernard A, Deo N, Tsung S, Lyytinen K, Sharp C, Rodriguez F, Maron D, Dash R. Evaluating Large Language Models and Retrieval-Augmented Generation Enhancement for Delivering Guideline-Adherent Nutrition Information for Cardiovascular Disease Prevention: Cross-Sectional Study. Journal of Medical Internet Research 2025;27:e78625 View