Den här översättningen är inte klar ännu. Den här sidan är just nu på engelska.

Gå till den engelska sidan

AI boosts polyp detection in colonoscopy: over 5,000 tested

NCT ID NCT05322993

First seen Jan 25, 2026 · Last updated Jun 23, 2026 · Updated 21 times

Summary

This completed study tested whether an AI system called GI Genius helps doctors spot polyps during colonoscopy. Over 5,000 adults participated. The goal was to see if AI improves detection rates and whether using AI has a lasting learning effect. Results could lead to better colon cancer screening.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for COLONIC POLYP are added.

Vår säkerhetsrekommendation!

Genom att skicka in godkänner du våra Användarvillkor

Contacts and locations

Locations

  • Haraldsplass Deaconess Hospital

    Bergen, Vestland, 5009, Norway

  • Haukeland University Hospital

    Bergen, Vestland, 5021, Norway

  • Kanalspesialistene AS

    Bergen, Vestland, 5068, Norway

What this could mean

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

Active substance

GI Genius artificial intelligence device

What this could lead to

If AI proves helpful, it could become a standard tool to improve colon cancer screening and reduce missed polyps.

What could go wrong

This trial is complete but only measures detection rates, not long-term health outcomes. AI may not reduce cancer risk or may cause unnecessary procedures.

Conditions

The condition(s) this trial relates to.

polyp of colon

As listed by the trial registrant

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