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Study identifier: NCT07650344 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

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

Condition: Sessile Serrated Lesion · CADe  ·  Sponsor: National Healthcare Group, Singapore

PhaseNA
Planned participants628
Who can joinAll sexes, 40 Years to 80 Years
Healthy volunteersYes

About this study

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).

This description comes directly from the study's public registry record.

Talk to the study team

Weida Chew, Masters  ·  63577897  ·  wei.da.chew@nhghealth.com.sg

Aei Aei Zaw  ·  63573116  ·  aei.aei.zaw@nhghealth.com.sg

Always discuss trial participation with your own doctor first.

Locations (3)

Tan Tock Seng HospitalSingapore, SingaporeRecruiting
Changi General HospitalSingapore, SingaporeNot Yet Recruiting
National University of SingaporeSingapore, SingaporeRecruiting

Follow this study

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Source record: clinicaltrials.gov/study/NCT07650344