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AI timer boosts polyp detection during colonoscopy

NCT ID NCT06063720

Knowledge-focused Sponsor: The University of Hong Kong Source: ClinicalTrials.gov ↗

What the study statuses mean

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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
Running, but no longer taking on new participants.
Completed This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 tested whether an artificial intelligence system that tracks how long doctors spend examining the colon during a colonoscopy could help them find more polyps. Researchers enrolled 193 adults aged 40 and older undergoing outpatient colonoscopy. The AI calculated effective withdrawal time in real-time, but doctors were not told the results. The goal was to see if this monitoring improved adenoma detection rates, which are key for preventing colorectal cancer.

What this could mean

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

Active substance
Artificial intelligence monitoring device
What this could lead to
If successful, this could lead to better colon cancer screening by helping doctors detect more polyps during colonoscopy.
What could go wrong
This is a small, single-center study. The AI tool only monitors time, not polyp detection directly, so benefits may be limited or not apply to other hospitals.

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

193 people

The number who actually took part.

Started

Nov 2023

Finished

Jan 2025

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

All patient will be recruited in Queen Mary Hospital, Hong Kong, China

Ages

40 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: All adult patients, aged 40 or above, undergoing outpatient colonoscopy will be recruited Exclusion Criteria: * history of inflammatory bowel disease * history of colorectal cancer * previous bowel resection (apart from appendectomy) * Peutz-Jeghers syndrome, familial adenomatous polyposis or other polyposis syndromes * bleeding tendency or severe comorbid illnesses for which polypectomy is considered unsafe. * Cecum could not be intubated for various reasons * Poor bowel preparation with Boston Bowel Preparation Scale (BBPS) \< 6

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Conditions

The condition(s) this trial relates to.

colon adenoma polyp of colon

As listed by the trial registrant

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

Artificial intelligence Colon adenoma Colonic polyp

Contacts and locations

Locations

  • Queen Mary Hospital, the University of Hong Kong

    Hong Kong, Hong Kong

More trials for these conditions

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