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

Reviews in Medical Informatics (121) Chatbots and Conversational Agents (778) Natural Language Processing (945) Innovations and Technology for Physical Activity Education (964) Generative Language Models Including ChatGPT (791)

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 (11) Tweetations (3) Metrics

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  1. Amangeldy B, Tasmurzayev N, Imankulov T, Baigarayeva Z, Izmailov N, Riza T, Abdukarimov A, Mukazhan M, Zhumagulov B. AI-Powered Building Ecosystems: A Narrative Mapping Review on the Integration of Digital Twins and LLMs for Proactive Comfort, IEQ, and Energy Management. Sensors 2025;25(17):5265 View
  2. Chen Y, Dong M, Sun J, Meng Z, Yang Y, Muhetaier A, Li C, Qin J. Leveraging GPT-4o for Automated Extraction and Categorization of CAD-RADS Features From Free-Text Coronary CT Angiography Reports: Diagnostic Study. JMIR Medical Informatics 2025;13:e70967 View
  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
  4. Hietbrink E, Lansink C, Laverman G, Vollenbroek-Hutten M, Middelweerd A, Tabak M. Systematic review of dynamically tailored eHealth interventions targeting physical activity and healthy diet in chronic disease. npj Digital Medicine 2025;8(1) View
  5. Lai X, Lai Y, Chen J, Huang S, Gao Q, Huang C. An AI-Assisted Adaptive Boolean Rubric for exercise prescription evaluation: A pilot validation study. International Journal of Medical Informatics 2026;207:106202 View
  6. Estrella T, Capdevila L, Alfonso C, Losilla J. Machine Learning for the Analysis of Healthy Lifestyle Data: Scoping Review and Guidelines. JMIR Human Factors 2026;13:e78648 View
  7. Michou I, Fouras A, Chrysanthakopoulou D, Theodoritsi M, Mariettou S, Stellatou S, Koutsojannis C. AI-Powered Physiotherapy: Evaluating LLMs Against Students in Clinical Rehabilitation Scenarios. Applied Sciences 2026;16(3):1165 View
  8. Goh H, Sancenon V, Chu B, Koh G, Koh L, Teo D, Ooi M, Thng C, Tan C, Chua D, Ta A. Personalised health plan development using agentic AI in Singapore’s national preventive care programme: a pilot study. npj Digital Medicine 2026 View
  9. Sortino M, Trovato B, Chiaramonte R, Carrera A, Sapienza M, Roggio F, Musumeci G. The Role of Artificial Intelligence and Professional Expertise in Adapted Physical Activity Prescription for Orthopedic Rehabilitation. Journal of Functional Morphology and Kinesiology 2026;11(1):113 View

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