Not medical advice. This website is not medical advice, a diagnosis, a match to a trial, or a recommendation to join a study. Listings are plain-English rewrites of public ClinicalTrials.gov records. Whether a site is still enrolling, and whether you qualify, can only be confirmed by the study team and your clinician. Source registry: ClinicalTrials.gov. Editorial rules: methodology.
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RecruitingNot a traditional drug phaseinterventionalRules rewrite

Not a traditional drug phase: Reinforcement Learning (RL)-Based Personalized Exercise Recommendations for Pelvic Pain

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.

Official registry: https://clinicaltrials.gov/study/NCT07810218 · Icahn School of Medicine at Mount Sinai · enrollment listed as 45

What this phase means

This study does not use the classic phase 1–4 drug ladder. It may be a device, a behavior program, a surgery timing study, or an early feasibility test.

Phase labels are FDA/ICH categories applied to the registry Phase field. They are not a finding that this study succeeded.

What the registry says happens

If you join, the listed intervention(s) are Reinforcement Learning (RL)-Based Personalized Exercise Recommendations, or Generic Exercise Recommendation. The registry lists allocation as randomized. WorkoutCPP is a pilot study evaluating the feasibility of a personalized exercise recommendation system for individuals with chronic pelvic pain disorders (CPPDs).

They plan to enroll about 45 people at New York. Taking part typically means following a program (exercise, therapy, diet, or an app) plus check-ins.

Official title (unrewritten)

WorkoutCPP: A Pilot Series of N-of-1 Trials Evaluating RL-Generated Adaptive Exercise Recommendations for Pelvic Pain Management

Interventions: Reinforcement Learning (RL)-Based Personalized Exercise Recommendations, Generic Exercise Recommendation

Primary outcome (registry wording): Exercise Recommendation Adherence Rate

Who it is for (from inclusion criteria)

  • Ages 18 Years to 55 Years
  • Women only
  • Self-reported CPPD (e.g., endometriosis, adenomyosis, fibroids, etc.) based on clinician diagnosis
  • 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)

Public study contact (from the registry)

Ipek Ensari, PhD

631-565-1829

ipek.ensari@mssm.edu

Published on ClinicalTrials.gov. Contact them as a possible participant. They decide eligibility.

Sites listed on ClinicalTrials.gov

1 listed

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FAQ about this NCT record

Is NCT07810218 still recruiting?

The sponsor posted status “Recruiting” on ClinicalTrials.gov at last ingest. Sites can pause independently. Confirm with the official record and the listed contact.

What phase is NCT07810218?

Not a traditional drug phase. Phase labels are FDA/ICH categories applied to the registry Phase field. They are not a finding that this study succeeded.

Can PlainTrials tell me if I qualify for NCT07810218?

No. The inclusion and exclusion lists on this page are readable extracts of the public eligibility block. Only the study team can screen you.

How to read a ClinicalTrials.gov record · Questions to ask the coordinator · Glossary