Actively Recruiting
Evaluating the Effectiveness of GI Genius AI in Improving Polyp Detection During Adult Colonoscopies at a Single Hospital
Led by Sengkang General Hospital · Updated on 2026-05-04
764
Participants Needed
1
Research Sites
78 weeks
Total Duration
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 tools 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
Research Team
F
Frederick H Koh, FRCSEd
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