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Can AI diagnose colon polyps on its own?

NCT ID NCT06543862

NEW Diagnosis Sponsor: Centre hospitalier de l'Université de Montréal (CHUM) 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Sep 21, 2026 · Last updated Sep 21, 2026

Summary

Researchers are comparing a fully autonomous artificial intelligence system with AI-assisted human diagnosis for identifying colorectal polyps during colonoscopy. The trial enrolls 540 adults scheduled for full colonoscopy, excluding those with inflammatory bowel disease, active colitis, bleeding disorders, familial polyposis, poor general health, or emergency procedures. Doctors use the CADx system to predict polyp histology in real time, and the team checks accuracy against pathology results for polyps 1 to 5 mm and 1 to 10 mm. The goal is to see whether AI alone or AI plus a human gives the most reliable optical diagnosis.

What this could mean

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

Active substance
a computer-aided diagnosis (CADx) artificial intelligence system for optical polyp diagnosis
What this could lead to
If autonomous AI proves as accurate as AI-assisted human diagnosis, it could speed up colonoscopy decisions and reduce the need for separate pathology exams on small polyps.
What could go wrong
The trial may show that AI alone misses some polyp types, especially serrated polyps, or that human-AI teamwork does not improve accuracy. Results may not apply to all endoscopists or settings.

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 540 people

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

Started

Nov 2024

Expected to finish

Oct 2026

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

45 to 80 years

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: * Indication for full colonoscopy. Exclusion Criteria: * Known inflammatory bowel disease * Active colitis * coagulopathy * familial polyposis syndrome * poor general health, defined as an American Society of Anesthesiologists class \>3 * emergency colonoscopy

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Conditions

The condition(s) this trial relates to.

polyp of colon polyp of large intestine

As listed by the trial registrant

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

Artificial intelligence Colonic polyp

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

  • Ghislaine Ahoua

    RECRUITING

    Montreal, Quebec, Canada

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