Actively Recruiting
A Comprehensive Review of the Impact of a Computer-Aided Real-Time Polyp Detection System on Adult Colonoscopy (COPILOT Study) - Single Institution Experience
Led by Sengkang General Hospital · Updated on 2026-05-04
764
Participants Needed
1
Research Sites
78 weeks
Total Duration
On this page
Sponsors
S
Sengkang General Hospital
Lead Sponsor
M
Medtronic
Collaborating Sponsor
AI-Summary
What this Trial Is About
Researchers are evaluating the use of an artificial intelligence device called the GI Genius Intelligent Endoscopy Module to improve detection of adenomatous polyps during colonoscopy in a multi-ethnic Asian adult population. The study aims to assess whether this AI tool increases the adenoma detection rate (ADR) and adenomas detected per colonoscopy (ADPC) compared to historical data without AI assistance. This observational study is conducted at a single institution over a 2-year period and also examines the tool's utility in training new endoscopists. The study involves recruiting adult patients scheduled for colonoscopy at the institution, where procedures are performed using the GI Genius AI guidance system. Data from these patients will be collected prospectively and compared to previously collected anonymized historical data from colonoscopies performed without AI from 2018 to 2021. Patients with incomplete or failed colonoscopy, poor bowel preparation, prior colorectal cancer or colonic resections, or flexible sigmoidoscopy are excluded from analysis. Participants will undergo colonoscopy with the AI device, and research coordinators will collect demographic, procedural, and histological data to measure ADR, ADPC, and polyp detection rate (PDR). Data will be de-identified before analysis to protect privacy. The study team will review outcomes every three months to compare AI-assisted procedures with historical controls. The study also includes cost analysis of the AI system. The total participation period corresponds to the treatment and follow-up related to the colonoscopy and histological result timelines.
CONDITIONS
Brief 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 aged 21 to 90 years scheduled for colonoscopy at the study institution
You will not qualify if you...
- Patients with incomplete or failed colonoscopy
- Patients who had flexible sigmoidoscopy instead of colonoscopy
- Patients with previous colorectal cancer
- Patients with previous colonic resections
- Patients with poor bowel preparation or incomplete colon assessment as judged by the endoscopist
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Duration - Conducted over a 2-year period
Participants undergo colonoscopy with the computer-aided polyp detection system (GI Genius) as part of their routine care.
1 visit (in-person) for colonoscopy procedure
Duration - Up to 2 weeks post colonoscopy for histological results
Data collected from participants' colonoscopy including histological results are reviewed and analyzed every 3 months to evaluate polyp and adenoma detection rates.
No additional visits required; data collected from routine care and follow-up
Trial Site Locations
Total: 1 location
1
Sengkang General Hospital
Singapore, Singapore, Singapore, 544886
Actively Recruiting
Research Team
F
Frederick H Koh, FRCSEd
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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