New AI aims to improve colonoscopy accuracy by measuring bowel cleanliness

NCT ID NCT07150130

Not yet recruiting Diagnosis Sponsor: Fudan University Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 26, 2026 · Updated 1 time

Summary

This study will develop and test an artificial intelligence system that assesses how clean the bowel is during a colonoscopy. The AI uses video from the colonoscope along with positioning data to give a more accurate cleanliness score. Researchers will analyze 700 colonoscopy videos to see if the AI can predict bowel cleanliness better than current methods. The goal is to help doctors detect colorectal adenomas (precancerous polyps) more reliably.

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 a more reliable AI tool that helps doctors better evaluate bowel preparation during colonoscopy, potentially improving detection of polyps.
What could go wrong: This is an observational study using existing videos, not a treatment trial. The AI system may not perform better than current methods in real-world use.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

colorectal adenoma

As listed by the trial registrant

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

COLORECTAL ADENOMA

Contacts and locations

Locations

Huadong hospital, Fudan university

Shanghai, 200040, China

More trials for these conditions

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