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AI eye on cancer: robot helps spot hidden polyps

NCT ID NCT07066046

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 2 times

Summary

This study will test whether artificial intelligence (AI) can help doctors find and identify colorectal polyps during colonoscopy better than standard methods. About 1000 adults having a routine colonoscopy will be randomly assigned to either AI-assisted or standard colonoscopy. The goal is to see if AI increases the number of adenomas (precancerous polyps) detected and improves accuracy in telling harmless polyps from dangerous ones.

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 (CAD EYE) used during colonoscopy
What this could lead to
If it works, this could make colonoscopies more accurate at finding precancerous polyps, potentially preventing more colorectal cancers.
What could go wrong
This is a single-center trial, so results may not apply everywhere. The AI might not improve detection enough to change practice, and it adds extra cost and complexity.

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 1,000 people

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

Started

Feb 2025

Expected to finish

Dec 2026

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

18 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 patients aged 18 years or older, with an elective indication for colonoscopy who sign the informed consent form agreeing to participate in the study. Exclusion Criteria: * History of inflammatory bowel disease. * History of colorectal cancer. * Personal history of colorectal surgery. * Contraindication to endoscopic biopsies. * History of intestinal polyposis syndromes. * Urgent or emergency cases. * Presence of severe, decompensated comorbidities, or with a score of 3 or higher according to the American Society of Anesthesiologists (ASA) classification. * Incomplete colonoscopy that does not reach the cecum. * Insufficient or inadequate bowel preparation, with a score lower than 6 on the Boston Bowel Preparation Scale. * Patients who do not agree to participate in the study and do not sign the informed consent form (ICF).

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

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

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

  • Hospital das Clínicas da Faculdade de Medicina da USP

    RECRUITING

    São Paulo, São Paulo, 05403-010, Brazil

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