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Personalized Exercise Recommendations for Chronic Pelvic Pain Using Reinforcement Learning

RecruitingNAAges 18 Years - 55 YearsFemaleIcahn School of Medicine at Mount Sinai
NCT07810218 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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.

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📋 Eligibility rules (as published)
Inclusion criteria: * Self-reported CPPD (e.g., endometriosis, adenomyosis, fibroids, etc.) based on clinician diagnosis * Aged 18-55 years. * Ownership of an iOS or Android smartphone. * Willingness to self-track daily symptoms, exercise activities, and self-management behaviors using a smartphone research app. * Willingness to wear an activity tracker for the study duration. * Willingness to follow exercise recommendations from a smartphone research app, provided no adverse symptoms occur. * Ability to read and write in English sufficient to understand study materials and communications. * At least intermittently physically active (e.g., ≥30 minutes of walking twice per week). Exclusion criteria: * Absolute contraindications to PA (e.g., recent myocardial infarction, complete heart block, acute congestive heart failure, unstable angina, or uncontrolled severe hypertension, BP ≥180/110 mm Hg). * More than two "Yes" responses on the Physical Activity Readiness Questionnaire (PAR-Q) (16) without physician clearance. * Major life events expected during the next 10 weeks (e.g., pregnancy, planned surgery, or extended travel likely to interfere with participation). * Current or planned pregnancy within the next 6 months. * Having given birth in the past 6 months or currently nursing. * Inability to wear an activity tracker or use the app for the study duration. * Complete inactivity (i.e., \<60 minutes of moderate-intensity PA per week).
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What it tests

  • Reinforcement Learning (RL)-Based Personalized Exercise Recommendations
  • Generic Exercise Recommendation
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Where

1 site
Icahn School of Medicine at Mount Sinai
New York, United States
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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