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New AI aims to improve colonoscopy accuracy by measuring bowel cleanliness

NCT ID NCT07150130

Diagnosis Sponsor: Fudan University Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 25, 2026 · Last updated Jun 26, 2026 · Updated 1 time

Summary

This study will develop and test an artificial intelligence system that assesses how clean the bowel is during a colonoscopy. The AI uses video from the colonoscope along with positioning data to give a more accurate cleanliness score. Researchers will analyze 700 colonoscopy videos to see if the AI can predict bowel cleanliness better than current methods. The goal is to help doctors detect colorectal adenomas (precancerous polyps) more reliably.

What this could mean

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

What this could lead to
If successful, this could lead to a more reliable AI tool that helps doctors better evaluate bowel preparation during colonoscopy, potentially improving detection of polyps.
What could go wrong
This is an observational study using existing videos, not a treatment trial. The AI system may not perform better than current methods in real-world use.

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.

Participants

About 700 people

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

Expected to start

Oct 2025

An estimate. Start dates often move.

Expected to finish

Oct 2028

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.

Who is studied

Colonoscopy images, colonoscopy videos, and colonoscopy videos with the UPD-3 positioning system from the electronic database of our hospital

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

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: * Clear colonoscopy images suitable for BBPS scoring * Complete and clear colonoscopy videos suitable for BBPS scoring * Clear colonoscopy videos with a stable UPD-3 positioning system, without signal drift, disappearance, or other disruptions Exclusion Criteria: * Blurred colonoscopy images * Colonoscopy images taken from the small intestine or outside the patient's body * Colonoscopy images captured during irrigation or instrument manipulation * Colonoscopy images obtained during chromoendoscopy * Colonoscopy videos that do not contain the complete withdrawal process * Videos in which the UPD-3 colonoscopic positioning system exhibited signal drift, disappearance, or other instability

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Conditions

The condition(s) this trial relates to.

colorectal adenoma

As listed by the trial registrant

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

Colorectal adenoma

How to take part

Only the study team decides who joins. These are the ways to reach them.

  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

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Huadong hospital, Fudan university

    Shanghai, 200040, China

More trials for these conditions

Other studies related to the condition(s) this trial covers.