USAGE OF ARITIFICIAL INTELLIGENCE IN AIDING WITH COLONIC SESSILE SERRATED LESIONS DETECTION AND DIAGNOSIS (AI-SSL)
Recruiting now · Not applicable
Conditions studied: Sessile Serrated Lesion, CADe
In brief
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).
Key facts
- Study ID
- NCT07650344
- Run by
- National Healthcare Group, Singapore
- People needed
- 628
- Starts
- 2026-05-21
- Expected to finish
- 2027-05-03
- Last updated by the study team
- 2026-06-16
Who can join
Age: 40 and older, up to 80. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- Adult (40 - 80 years) Undergoing colonoscopy for screening, surveillance, or diagnostic indications. Complete colonoscopy with satisfactory Boston Bowel Prep Scale of 6 or higher. Provide informed consent to participate in the study
You may not qualify if…
- Personal or family history of colorectal cancer Personal or family history of colonic polyposis syndromes Personal or family history of inflammatory bowel disease Prior colorectal surgery Contraindications to colonoscopy (intestinal obstruction, medical conditions that will make the risk of colonoscopy too high) Contraindications to polypectomy (ongoing anticoagulation / double antiplatelet therapy that cannot be stopped for the colonoscopy) Inability to give consent Incomplete colonoscopy/ Unable to retrieve specimen for pathology Poor bowel preparation (Boston Bowel Prep Scale <6) Pregnant Women
Where it is running
- Tan Tock Seng Hospital — Singapore, Singapore (enrolling)
- National University of Singapore — Singapore, Singapore (enrolling)
- Changi General Hospital — Singapore, Singapore
Full record on ClinicalTrials.gov
Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.