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AI learns to predict colon cancer invasion from 5,000 videos

NCT ID NCT07401264

Knowledge-focused Sponsor: Universitaire Ziekenhuizen KU Leuven Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study collects images and videos of large colon polyps from 5,000 people undergoing colonoscopy. The goal is to train an artificial intelligence system to automatically predict whether a polyp has invaded deeper layers of the bowel wall. No drugs or treatments are tested—only data is gathered for future AI development.

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 an AI tool that helps doctors better predict which colon polyps are dangerous, potentially reducing unnecessary surgeries.
What could go wrong
This is an early-stage data collection study, not a treatment trial. The AI may not perform well enough in real-world settings, and results may take years to develop.

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 5,000 people

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

Started

Apr 2022

Expected to finish

Dec 2030

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

patients who need a standard or therapeutic colonoscopy

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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: * Referral for standard or therapeutic colonoscopy * Digital video material of standard colonoscopy containing at least one colorectal polyp (≥ 10mm) and/or with suspicion of malignancy/submucosal invasion * Digital images of colorectal polyps ≥ 10mm made during standard colonoscopy and/or with suspicion of malignancy/submucosal invasion Page 11 of 21 * Videos and/or images can be made in white light or any virtual of dye-based enhancement technique * Colonoscopies performed after IRB approval for this particular study. * Material collected in adult patients of all sex or race, including pregnant women. Exclusion Criteria: * Any contraindication to undergo a standard colonoscopy * Any uncontrolled coagulopathy or bleeding disorder * Colonoscopy videos not containing any or colorectal polyps \< 10mm * Colonoscopy videos or images of low quality due to unstable imaging, stool remnants, bowel or patient movements or blurry vision * Colonoscopy videos with visualization of the polyp less than 5 seconds due to unstable positioning, passing stool remnants, bowel or patient movements or blurry visions

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Conditions

The condition(s) this trial relates to.

polyp of large intestine

As listed by the trial registrant

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

Colonic lesions

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

  • UZ Leuven

    RECRUITING

    Leuven, 3000, Belgium

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