AI RESEARCH
Consistency of AI-Generated Exercise Prescriptions: A Repeated Generation Study Using a Large Language Model
arXiv CS.AI
•
ArXi:2604.11287v1 Announce Type: new Background: Large language models (LLMs) have been explored as tools for generating personalized exercise prescriptions, yet the consistency of outputs under identical conditions remains insufficiently examined. Objective: This study evaluated the intra-model consistency of LLM-generated exercise prescriptions using a repeated generation design. Methods: Six clinical scenarios were used to generate exercise prescriptions using Gemini 2.5 Flash (20 outputs per scenario; total n = 120.