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

Human Factors and Usability Case Studies (1056) e-Learning and Digital Medical Education (948) Generative Language Models Including ChatGPT (782) Artificial Intelligence (2309) Digital Health Reviews (1803) Machine Learning (2202) Reviews (148)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79217, first published .
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

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 (2) Tweetations (4) 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