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AI takes on colon cancer: can a computer beat the doctor at spotting dangerous polyps?

NCT ID NCT04921488

Diagnosis Sponsor: University Hospital, Bordeaux 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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Updated 1 time

Summary

This study tested whether an artificial intelligence system called CAD EYE can accurately predict if colon polyps are cancerous during a screening colonoscopy. Researchers compared the AI's predictions to the doctor's judgment and the final lab results. The goal is to see if AI can improve accuracy and reduce costs in colorectal cancer screening.

What this could mean

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

Active substance
CAD EYE artificial intelligence system
What this could lead to
If successful, this AI tool could help doctors spot cancerous polyps more accurately during routine colonoscopies, potentially reducing unnecessary biopsies and costs.
What could go wrong
This is a completed, moderate-sized study (194 people). The AI may not be as accurate as hoped, and results may not apply to all populations 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

194 people

The number who actually took part.

Started

Oct 2021

Finished

Jan 2023

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

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: * Patients over 18 years of age with indication for colonoscopy as part of a screening colonoscopy, after a positive immunological test, and/or for personal or family history of colon cancer (before 60 years), personal history of colonic adenoma. * Patient with at least one polyp detected, resect and removed during colonoscopy, for histological analysis Exclusion Criteria: * Guardianship or protection, * pregnancy, * not fluent in French or illiterate, * lack of health care

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Conditions

The condition(s) this trial relates to.

colorectal neoplasm intestinal polyp

As listed by the trial registrant

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

Colonoscopy Colorectal neoplasms Deep learning Intestinal polyps

Contacts and locations

Locations

  • CHU d'Angers

    Angers, 49100, France

  • Centre Hospitalier Universitaire de Bordeaux

    Talence, 33404, France

  • Hopital Américain

    Neuilly-sur-Seine, 92200, France

  • Hôpital Européen Georges Pompidou

    Paris, 75015, France

  • Hôpital Saint Antoine

    Paris, 75012, France

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