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AI could classify colon polyps on the spot, skipping the lab

NCT ID NCT06059378

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 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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 testing whether an artificial intelligence system called CADeye can accurately classify small colon polyps during colonoscopy. The trial enrolls adults aged 45 to 80 undergoing outpatient colonoscopy at a single hospital in Montreal. Doctors will compare the AI-assisted diagnosis, made with or without human input, against the optical diagnosis of two expert endoscopists. The study also measures how many patients accept the approach and whether it could reduce costs by replacing lab pathology.

What this could mean

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

Active substance
an artificial intelligence-assisted optical diagnosis system called CADeye that helps endoscopists classify colon polyps during colonoscopy
What this could lead to
If it works, doctors could classify small colon polyps during colonoscopy without sending tissue to a lab, which may save time and money and spare patients extra procedures.
What could go wrong
The trial is small and runs at a single hospital, so results may not hold in other settings. The AI could misclassify polyps, and some patients may not trust a diagnosis made without lab confirmation.

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 204 people

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

Started

Sep 2023

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

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: * Age 45-80 years * Undergoing an outpatient colonoscopy at the Centre Hospitalier de l'Université de Montréal (CHUM) * Signed informed consent form Exclusion Criteria: * Inflammatory Bowel Disease; * Active colitis; * Hereditary CRC syndrome; * Coagulopathy; * American Society of Anesthesiologists (ASA) status \>3

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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.

Artificial intelligence

Contacts and locations

Locations

  • Centre Hospitalier de l'Université de Montréal

    Montreal, Quebec, Canada

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