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AI boosts bowel polyp detection in Pill-Sized camera videos

NCT ID NCT06008847

Diagnosis Sponsor: University Hospitals Coventry and Warwickshire NHS Trust 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tested whether artificial intelligence (AI) could help doctors find polyps (small growths that can become cancer) in videos from a swallowed capsule camera. 720 adults who were already scheduled for a colon capsule endoscopy took part. The AI analyzed the video to flag possible polyps, and researchers measured how accurate and fast the AI was compared to doctors reading the video alone.

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 software for analyzing capsule endoscopy videos
What this could lead to
If successful, this AI tool could help doctors detect bowel polyps faster and more accurately, potentially leading to earlier diagnosis of bowel cancer.
What could go wrong
This is a completed study, but results are not yet widely available. The AI may not perform as well in real-world settings or with different patient groups.

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

720 people

The number who actually took part.

Started

Feb 2022

Finished

Oct 2024

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

Male or female, aged 18 and over

Ages

18 years and older

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: * Aged 18 or over * Patients who have been selected by overseeing clinician meeting NHS England criteria to undergo colon capsule endoscopy as part of their standard of care Exclusion Criteria: * Patients unable to provide consent to take part in the study

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Conditions

The condition(s) this trial relates to.

intestinal cancer neoplasm

As listed by the trial registrant

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

Bowel cancer

Contacts and locations

Locations

  • University Hospitals Coventry and Warwickshire

    Coventry, Coventry, CV2 2DX, United Kingdom

More trials for these conditions

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