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USAGE OF ARITIFICIAL INTELLIGENCE IN AIDING WITH COLONIC SESSILE SERRATED LESIONS DETECTION AND DIAGNOSIS (AI-SSL)
Sponsor: National Healthcare Group, Singapore
Summary
The aim of this study is to is to evaluate if a real-time Computer Aided Detection (CADe) system can help improve the detection of SSL(sessile serrated lesions) versus a conventional colonoscopy (CC) using white light examination(WLE).
Official title: USAGE OF ARITIFICIAL INTELLIGENCE IN AIDING WITH COLONIC SESSILE SERRATED LESIONS DETECTION AND DIAGNOSIS (AI-SSLD)
Key Details
Gender
All
Age Range
40 Years - 80 Years
Study Type
INTERVENTIONAL
Enrollment
628
Start Date
2026-05-21
Completion Date
2027-05-03
Last Updated
2026-06-16
Healthy Volunteers
Yes
Conditions
Interventions
usage of CADe system
A real-time Computer Aided Detection (CADe) system can help improve the detection of SSL versus a conventional colonoscopy (CC) using white light examination(WLE).
Locations (3)
Tan Tock Seng Hospital
Singapore, Singapore
Changi General Hospital
Singapore, Singapore
National University of Singapore
Singapore, Singapore