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Human Factors and Usability Case Studies (1281) Digital Health Reviews (3544) e-Learning and Digital Medical Education (1547) Reviews (282) Machine Learning (3080) Artificial Intelligence (4581) Generative Language Models Including ChatGPT (1440)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79217, first published .
Young woman in athletic wear checks her phone and holds a water bottle in a park

Evaluation Strategies for Large Language Model-Based Models in Exercise and Health Coaching: Scoping Review

Evaluation Strategies for Large Language Model-Based Models in Exercise and Health Coaching: Scoping Review

Authors of this article:

Xiangxun Lai1, 2 Author Orcid Image ;   Yue Lai3 Author Orcid Image ;   JiaCheng Chen1 Author Orcid Image ;   Shengqi Huang1 Author Orcid Image ;   Qi Gao2 Author Orcid Image ;   Caihua Huang1 Author Orcid Image
Article Authors Cited by (12) Tweetations (3) Metrics

Journals

  1. Madrigal-Cerezo R, Domínguez-Sanz N, Martín-Rodríguez A. Wearable Biosensing and Machine Learning for Data-Driven Training and Coaching Support. Biosensors 2026;16(2):97 View
  2. Olszewski R, Brzeziński J, Watros K, Rysz J. Quantifying Readability in Chatbot-Generated Medical Texts Using Classical Linguistic Indices: A Review. Applied Sciences 2026;16(3):1423 View
  3. Druart L, Faria V, Annoni M, Torous J, Pontén M, Blease C. Investigating Placebos and Controls Used in Large Language Model–Based Chatbot Intervention Trials: Protocol for a Methodological Review. JMIR Research Protocols 2026;15:e90507 View
  4. Jaiswal R, Mahmood T, Awasthi H, Ahsan F, Ali A. COX-2–derived prostaglandins in cardiac hypertrophy: Dual roles in injury and repair. Prostaglandins & Other Lipid Mediators 2026;184:107071 View
  5. Shah N, Buis L, Papierski D, Castellanos A, Mlakha M, Murphy S. A Beginner’s Guide to Applying Large Language Models in Behavioral Interventions. JMIR mHealth and uHealth 2026;14:e79302 View
  6. Girão Carrilho M, Costa Pinto D, Wagner R, Rohden S, Telo de Arriaga M, Quelhas Pinto L. AI-Enabled Digital Health Promotion and Prevention: Computational Literature Review. JMIR AI 2026;5:e84492 View
  7. He L, Do D, Shet V, Farghaly O, Deshpande P, Madiraju P, Ye J, Beestrum M. Large language model biases in health care: a scoping review and call for an integrated assessment framework. Journal of the American Medical Informatics Association 2026 View
  8. Jeong Y, Cha H, Suh E. Multi-Turn LLM-Based Conversational Agents for Patients with Cancer and Caregivers: A Scoping Review (Preprint). JMIR Cancer 2026 View
  9. Sun Y, Hou Z. Beyond speed and professionalism: Evidence from a discrete choice experiment on AI coach preferences. Journal of Retailing and Consumer Services 2026;93:104960 View
  10. Lee K. Cross-model consistency of AI-generated exercise prescriptions: A repeated generation study across three large language models. International Journal of Medical Informatics 2026;220:106594 View
  11. Ma M, Sui T, Zhou S, Shi L, Lau P. User Acceptability and Adoption of AI-Generated Lifestyle Intervention Recommendations: Scoping Review and Theoretical Integration. Journal of Medical Internet Research 2026;28:e93573 View

Conference Proceedings

  1. Benjamin O, Mohammed E. 2026 23rd International Learning and Technology Conference (L&T). Applying Agentic AI for Personalized Running Plans Creation View