Actively Recruiting
Review of the Impact of a Computer-aided Real-time Polyp Detection System on Adult Colonoscopy
Led by Sengkang General Hospital · Updated on 2026-05-04
764
Participants Needed
1
Research Sites
469 weeks
Total Duration
On this page
Sponsors
S
Sengkang General Hospital
Lead Sponsor
M
Medtronic
Collaborating Sponsor
AI-Summary
What this Trial Is About
Background: Removal of adenomatous polyps during colonoscopy is associated with long-term prevention of colorectal cancer-related deaths. Recently, there have been much interest in the use of artificial intelligence (AI) platforms to augment the routine endoscopic assessment of the colon to enhance adenoma detection rate (ADR). To date, computer assisted detection of polyps (CADe) have been shown to be safe, with a significant increase in ADR, without any concomitant increase in post-procedural complications. Aims: The investigators aim to evaluate the use of GI GeniusTM Intelligent Endoscopy Module in a multi-ethnic Asian population (Singapore) to increase in ADR and adenoma detected per colonoscopy (ADPC)to justify its effectiveness as an adjunct in polyp detection and training for colonoscopy. Methods: This study will be a single-institution cohort study, conducted over a 2-year period. Sengkang General Hospital (SKH) does an estimated 12,500 colonoscopies per year, with an average of 1,040 colonoscopies performed every month. Thus, given the case volume, the investigators expect to detect differences in ADR amongst endoscopists if any during this study period. As part of the subgroup analysis, the investigators also aim to compare the ADR rates of trainee endoscopists with and without the GI GeniusTM Intelligent Endoscopy Module to ascertain its utility as an education tool/training adjunct
CONDITIONS
Official Title
Review of the Impact of a Computer-aided Real-time Polyp Detection System on Adult Colonoscopy
Who Can Participate
Eligibility Criteria
You may qualify if you...
- All adult patients going for colonoscopy in the institution
You will not qualify if you...
- Patients with incomplete or failed colonoscopy
- Patients undergoing flexible sigmoidoscopy instead of colonoscopy
- Patients who had colonoscopy after previous colorectal cancers
- Patients who had previous colonic resections
- Patients with poor bowel preparation
- Patients deemed by the endoscopist to have an incomplete assessment of the colon
AI-Screening
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Trial Site Locations
Total: 1 location
1
Sengkang General Hospital
Singapore, Singapore, Singapore, 544886
Actively Recruiting
Research Team
F
Frederick H Koh, FRCSEd
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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