AI learns to predict colon cancer invasion from 5,000 videos
NCT ID NCT07401264
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study collects images and videos of large colon polyps from 5,000 people undergoing colonoscopy. The goal is to train an artificial intelligence system to automatically predict whether a polyp has invaded deeper layers of the bowel wall. No drugs or treatments are tested—only data is gathered for future AI development.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to an AI tool that helps doctors better predict which colon polyps are dangerous, potentially reducing unnecessary surgeries.
- What could go wrong
- This is an early-stage data collection study, not a treatment trial. The AI may not perform well enough in real-world settings, and results may take years to develop.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for COLONIC LESIONS are added.
By submitting, you agree to our Terms of use
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
-
UZ Leuven
RECRUITINGLeuven, 3000, Belgium
More trials for these conditions
Other studies related to the condition(s) this trial covers.