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AI boosts colonoscopy accuracy for lynch syndrome patients?

NCT ID NCT06654128

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tested whether using artificial intelligence (AI) during colonoscopy helps find more polyps in people with Lynch syndrome, a genetic condition that raises colon cancer risk. One hundred participants each had two colonoscopies back-to-back, with the second using either standard high-definition white light or AI assistance. The goal was to see if AI catches polyps that standard methods might miss.

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 (GI Genius) as a diagnostic aid during colonoscopy
What this could lead to
If successful, AI-assisted colonoscopy could become a new standard for detecting precancerous polyps earlier in people with Lynch syndrome.
What could go wrong
This is a small, completed trial with 100 participants. The AI may not significantly improve detection, and results may not apply to all hospitals or populations.

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

100 people

The number who actually took part.

Started

Nov 2024

Finished

Nov 2025

Lead sponsor

A government agency

The lead sponsor is a government body.

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 with a known pathogenic variant in one of the mismatch repair genes, who are undergoing endoscopic screening and surveillance in our institute Exclusion Criteria: * patients \< 18 years old * lack of informed consent * concomitant inflammatory bowel disease * previous total colectomy * inadequate bowel cleansing (Boston Bowel Preparation Scale (BBPS) ≤5 or \< 2 in one of the 3 segments)

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Conditions

The condition(s) this trial relates to.

Colorectal Neoplasms, Hereditary Nonpolyposis Lynch syndrome

As listed by the trial registrant

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

Contacts and locations

Locations

  • Sheba Medical Center

    Ramat Gan, 5262000, Israel

More trials for these conditions

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