Personalized Exercise Recommendations for Chronic Pelvic Pain Using Reinforcement Learning
NCT07810218
This study is recruiting at 1 US site in 1 state, according to its ClinicalTrials.gov record last updated .
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.
Shortened from the sponsor's brief summary. View official record on ClinicalTrials.gov
Conditions studied
- Pelvic Pain
- Endometriosis
- Chronic Pelvic Pain
Eligibility basics and study details
- Study type
- Interventional
- Phase
- Not applicable
- Ages
- 18 to 55 years
- Sex
- Female
- Healthy volunteers
- Not accepted
- Sponsor
- Icahn School of Medicine at Mount Sinai
- Last updated on ClinicalTrials.gov
- September 9, 2026
These are the basic criteria only. The full inclusion and exclusion criteria are on the official record, and the study team decides who can take part.
US recruiting sites
New York · 1
- Icahn School of Medicine at Mount Sinai · New York, NY
Source: ClinicalTrials.gov, data processed . Recruiting US sites filtered by distance and site status; summaries shortened.