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Personalized Exercise Recommendations for Chronic Pelvic Pain Using Reinforcement Learning
Sponsor: Icahn School of Medicine at Mount Sinai
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 recommendations across four 2-week phases, allowing within-person comparison of outcomes under each condition. The primary hypothesis is that an RL-based adaptive recommendation system is feasible to deliver in a CPPD population.
Official title: WorkoutCPP: A Pilot Series of N-of-1 Trials Evaluating RL-Generated Adaptive Exercise Recommendations for Pelvic Pain Management
Key Details
Gender
FEMALE
Age Range
18 Years - 55 Years
Study Type
INTERVENTIONAL
Enrollment
45
Start Date
2026-02-06
Completion Date
2027-08
Last Updated
2026-09-09
Healthy Volunteers
No
Interventions
Reinforcement Learning (RL)-Based Personalized Exercise Recommendations
Daily exercise recommendations (using type, intensity, and duration) are generated by a contextual bandit reinforcement learning agent, based on the implementation described in Meier et al. 2023. Recommendations are personalized using each participant's initially generated list of exercises based on their physical ability and resources available, as well as contextual daily factors including pain symptoms, prior exercise compliance, and their feedback to the previous exercise recommendation.
Generic Exercise Recommendation
Participants receive exercise recommendations from a standardized, set list of exercise recommendations that are based on USDHHS physical activity guidelines (Piercy et al., 2020). Recommendations are not personalized based on participant contextual information and do not adapt over the course of the study.
Locations (1)
Icahn School of Medicine at Mount Sinai
New York, New York, United States