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NCT07150130

Development and Validation of an Artificial Intelligence-assisted System for Bowel Cleanliness Assessment Based on Withdrawal Distance Weighting

Not yet recruiting Last updated 2 September 2025
What this trial tests

trial testing No Intervention: Observational Cohort in Colorectal Adenoma in 700 participants. Not yet recruiting.

Timeline
1 October 2025
Primary endpoint
1 October 2028
1 October 2028

Quick facts

Lead sponsorFudan University
StatusNot yet recruiting
Study typeOBSERVATIONAL
Enrollment700
Start date1 October 2025
Primary completion1 October 2028
Estimated completion1 October 2028
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Fudan University

Who can join

Eligibility, any sex, with Colorectal Adenoma. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

To address the limitations of current AI-based systems that rely on the assumption of a "constant withdrawal speed," this study proposes the integration of the UPD-3 endoscopic positioning system. By using colonoscope withdrawal videos in combination with UPD-3 imaging data as training samples, we aim to develop an AI-powered bowel cleanliness assessment system that incorporates "withdrawal distance" as a weighting factor. This approach is expected to yield a more reliable, objective, and clinically applicable intelligent assessment system that better aligns with real-world clinical practice and endoscopists' operational habits.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other trials of No Intervention: Observational Cohort

Trials testing the same drug.

Other recruiting trials for Colorectal Adenoma

Currently open trials in the same condition.

Other Fudan University trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07150130.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing