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

NCT07650344 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 628

Last updated 2026-06-16

No results posted yet for this study

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).

Conditions

  • Sessile Serrated Lesion
  • CADe

Interventions

DEVICE

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).

Sponsors & Collaborators

  • Changi General Hospital

    collaborator OTHER

  • National University Health System, Singapore

    collaborator OTHER

  • National Healthcare Group, Singapore

    lead OTHER_GOV

Principal Investigators

  • Joseph JY Sung, PHD · Nanyang Technological University

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
40 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-05-21
Primary Completion
2027-05-31
Completion
2027-05-03

Countries

  • Singapore

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07650344 on ClinicalTrials.gov