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AI boosts colonoscopy accuracy in massive VA trial

NCT ID NCT05888623

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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

Summary

This large study tested whether an artificial intelligence system (GI Genius) can help doctors spot precancerous polyps during colonoscopy. Over 334,000 veterans at VA hospitals across the U.S. took part. Some hospitals used the AI device, while others did not. Researchers compared how often adenomas (precancerous growths) were found in each group. The goal is to see if AI improves detection and could lead to fewer colorectal cancers.

What this could mean

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

Active substance
Computer-assisted detection device (GI Genius Intelligent Endoscopy Module)
What this could lead to
If successful, this could show that AI helps doctors find more precancerous polyps during colonoscopy, potentially reducing colorectal cancer rates.
What could go wrong
The study is observational and compares hospitals, not individual patients, so results may be influenced by other factors. AI might also increase false positives or procedure time.

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

334,200 people

The number who actually took part.

Started

Oct 2022

Finished

Dec 2023

Lead sponsor

A government agency

The lead sponsor is a US federal agency other than the NIH.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Veterans undergoing colonoscopy for any indication at VA facilities across the United States.

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

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: * Colonoscopy performed at a Veterans Affairs (VA) medical center Exclusion Criteria: * Colonoscopy performed at VA medical centers that acquired computer-assisted detection artificial intelligence devices through non-random assignment * Colonoscopy performed at a VA medical center where pathology results are not available

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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.

Contacts and locations

Locations

  • VA Puget Sound Health Care System

    Seattle, Washington, 98108, United States

More trials for these conditions

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