Clinical Trial

USAGE OF ARITIFICIAL INTELLIGENCE IN AIDING WITH COLONIC SESSILE SERRATED LESIONS DETECTION AND DIAGNOSIS (AI-SSL)

Study acronym: AI-SSLD
Recruiting
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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).
Trial Details
NCT Number NCT07650344
Lead Sponsor National Healthcare Group, Singapore
Collaborators: Changi General Hospital, National University Health System, Singapore
Conditions Sessile Serrated Lesion, CADe
Enrollment 628 participants
Start Date 2026-05-21
Primary Completion 2027-05 (estimated)
Study Completion 2027-05-03 (estimated)
Updated on ClinicalTrials.gov 2026-06-16