Thousands of colonoscopy images to train AI that predicts cancer invasion

NCT ID NCT07401264

Recruiting now Knowledge-focused Sponsor: Universitaire Ziekenhuizen KU Leuven Source: ClinicalTrials.gov ↗

First seen Feb 16, 2026 · Last updated Jun 11, 2026 · Updated 21 times

Summary

This study collects images and videos of large colon polyps during routine colonoscopies from 5000 people across multiple hospitals. The goal is to use these images to train an artificial intelligence (AI) system that can automatically predict whether a polyp has grown deep into the bowel wall (submucosal invasion). Participants undergo a standard colonoscopy, and no extra procedures or treatments are given as part of this research.

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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.

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Contacts and locations

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Study contacts

Contact

Phone: •••-•••-•••• Email: •••••@•••••
Contact

Phone: •••-•••-•••• Email: •••••@•••••

Locations

UZ Leuven
RECRUITING

Leuven, 3000, Belgium

Contact Phone: •••-•••-•••• Email: •••••@•••••

Conditions

Explore the condition pages connected to this study.

COLONIC LESIONS COLONIC LESIONS

Conditions inferred from the trial description

These were inferred from the trial's summary, not listed by the trial registrant.

COLORECTAL POLYPS