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Can AI help doctors spot more colon polyps?

NCT ID NCT05244278

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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

This trial tests whether an artificial intelligence system that highlights possible polyps on the colonoscopy screen helps doctors find more adenomas than standard colonoscopy alone. Adults aged 45 to 89 scheduled for a screening, surveillance, or diagnostic colonoscopy take part. Each colonoscopy is randomly assigned to use the AI system or not, and researchers compare how often adenomas are detected.

What this could mean

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

Active substance
an AI software system that highlights polyps on the colonoscopy screen in real time
What this could lead to
If it works, this could make colonoscopies more reliable at catching precancerous polyps, which may help prevent colorectal cancer.
What could go wrong
The AI may not improve detection in everyday practice, or it could flag harmless spots and lead to unnecessary removals. The trial is still testing whether the benefit is real.

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 1,596 people

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

Started

Aug 2023

Expected to finish

Jan 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

45 to 89 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 of undergoing a screening, surveillance, or diagnostic colonoscopy * Age 45-89 years Exclusion Criteria: * Patients undergoing emergency colonoscopy * Patients with a known familial polyposis syndrome or a known inflammatory bowel disease

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As listed by the trial registrant

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

Artificial intelligence

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

  • Centre Hospitalier Universitaire de Montréal

    RECRUITING

    Montreal, Quebec, Canada

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