Status:
NOT_YET_RECRUITING
Development and Validation of an Artificial Intelligence-assisted System for Bowel Cleanliness Assessment Based on Withdrawal Distance Weighting
Lead Sponsor:
Fudan University
Conditions:
Colorectal Adenoma
Eligibility:
All Genders
Brief Summary
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 ...
Detailed Description
This study developed an intelligent bowel cleanliness assessment system that uses colonoscope withdrawal distance as a weighting factor. The system consists of the following four modules: 1. Module 1...
Eligibility Criteria
Inclusion
- Clear colonoscopy images suitable for BBPS scoring
- Complete and clear colonoscopy videos suitable for BBPS scoring
- Clear colonoscopy videos with a stable UPD-3 positioning system, without signal drift, disappearance, or other disruptions
Exclusion
- Blurred colonoscopy images
- Colonoscopy images taken from the small intestine or outside the patient's body
- Colonoscopy images captured during irrigation or instrument manipulation
- Colonoscopy images obtained during chromoendoscopy
- Colonoscopy videos that do not contain the complete withdrawal process
- Videos in which the UPD-3 colonoscopic positioning system exhibited signal drift, disappearance, or other instability
Key Trial Info
Start Date :
October 1 2025
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
October 1 2028
Estimated Enrollment :
700 Patients enrolled
Trial Details
Trial ID
NCT07150130
Start Date
October 1 2025
End Date
October 1 2028
Last Update
September 2 2025
Active Locations (1)
Enter a location and click search to find clinical trials sorted by distance.
1
Huadong hospital, Fudan university
Shanghai, China, 200040