New AI aims to improve colonoscopy accuracy by accounting for scope speed

NCT ID NCT07150130

Not yet recruiting Knowledge-focused Sponsor: Fudan University Source: ClinicalTrials.gov ↗

First seen Nov 01, 2025 · Last updated May 22, 2026 · Updated 26 times

Summary

This study aims to create a more accurate artificial intelligence (AI) system for assessing how clean the bowel is during a colonoscopy. Current AI systems assume the colonoscope moves at a constant speed, which is not true in real procedures. By using a special positioning system (UPD-3) that tracks the scope's movement, the new AI will weigh how far the scope has traveled to give a better cleanliness score. The goal is to help doctors more reliably detect colorectal adenomas (precancerous polyps) in 700 participants.

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Contacts and locations

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Study contacts

Contact

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

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

Locations

Huadong hospital, Fudan university

Shanghai, 200040, China

Conditions

Explore the condition pages connected to this study.

COLORECTAL ADENOMA COLORECTAL ADENOMA