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Can AI personalize exercise to ease pelvic pain?

NCT ID NCT07810218

Symptom relief Sponsor: Icahn School of Medicine at Mount Sinai Source: ClinicalTrials.gov ↗

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Sep 09, 2026 · Last updated Sep 10, 2026 · Updated 1 time

Summary

Researchers at Mount Sinai are testing whether a reinforcement learning system can deliver personalized daily exercise recommendations to people with chronic pelvic pain. The study enrolls 45 adults who receive alternating standard and AI-generated exercise advice over four two-week phases. The goal is to see if this approach is feasible and if participants stick to the recommendations.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
personalized exercise recommendations generated by reinforcement learning
What this could lead to
If it works, this could point toward a scalable way to deliver personalized exercise guidance for chronic pelvic pain, potentially improving adherence and symptom management.
What could go wrong
This is a small pilot study testing feasibility, not effectiveness. The AI may not produce useful recommendations, and participants might not adhere or see symptom relief.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 45 people

The number the study aims to enrol. It can still change while the study runs.

Started

Feb 2026

Expected to finish

Aug 2027

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Ages

18 to 55 years

Sex

Female participants only

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

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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Conditions

The condition(s) this trial relates to.

endometriosis Motor Activity Pelvic Pain

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Chronic pelvic pain Endometriosis Pelvic pain

How to take part

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  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

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Contacts and locations

Locations

  • Icahn School of Medicine at Mount Sinai

    RECRUITING

    New York, New York, 10029, United States

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