peer reviewed · JMIR / ScienceDirect
Using Large Language Models to Enhance Exercise Recommendations and Physical Activity in Clinical and Healthy Populations: Scoping Review
In plain English
Maps the current use of LLMs across both clinical and general populations, which are very different risk settings.
large language models
exercise prescription
scoping review
Related research
- Large Language Model-Based Agents for Physical Activity and Cognitive Training: Scoping Review
- The AI Recommendation Paradox: A Systematic Review Evaluating the Promise, Peril, and Path Forward for Large Language Models in Exercise Recommendation
- AI-Generated Exercise Prescriptions for At-Risk Populations: Safety and Feasibility of a Large Language Model Assessed by Expert Evaluation