RecruitingNCT05870332

Nationwide Study of Artificial Intelligence in Adenoma Detection for Colonoscopy

Sponsor

King's College Hospital NHS Trust

Enrollment

4,000 participants

Start Date

Oct 16, 2023

Study Type

OBSERVATIONAL

Conditions

Colo-rectal Cancer Colonic Polyp Colonic Adenoma

Summary

The goal of this trial is to determine whether use of a Computer Assisted Detection (CADe) programme leads to an increase in ADR for either units or individual colonoscopists, independent of setting or expertise

Eligibility

Min Age: 18 YearsMax Age: 85 Years

Plain Language Summary

Simplified for easier understanding

This large national study is testing whether an artificial intelligence (AI) tool used during colonoscopy can help doctors find more polyps (small growths in the bowel) that might otherwise be missed. Detecting polyps early can help prevent bowel cancer. **You may be eligible if...** - You are between 18 and 85 years old - You have been referred for a colonoscopy based on current NHS or British Society of Gastroenterology guidelines - You are able to give written consent **You may NOT be eligible if...** - You are having your colonoscopy specifically for polyp surveillance (monitoring known polyps) - You are unable to provide informed written consent Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DEVICEGI Genius (GIG)

GIG is an artificial intelligence unit that assists human colonoscopist in real-time to detect polyps during colonoscopy. Four months collection period prior to activating GIG, then four months with GIG, and Four months afterwards without GIG