Clinical Trial: Personalized Exercise Recommendations for Chronic Pelvic Pain Using Reinforcement Learning

U.S., Sept. 10 -- ClinicalTrials.gov registry received information related to the study (NCT07810218) titled 'Personalized Exercise Recommendations for Chronic Pelvic Pain Using Reinforcement Learning' on Sept. 03.

Brief Summary: WorkoutCPP is a pilot study evaluating the feasibility of a personalized exercise recommendation system for individuals with chronic pelvic pain disorders (CPPDs). The study uses reinforcement learning (RL), a type of artificial intelligence that adapts recommendations over time based on each participant's reported pain levels, symptom burden, and exercise compliance. Participants receive daily exercise recommendations that alternate between standard, non-personalized guidance and personalized, RL-generated recomm...