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Review of the Impact of a Computer-aided Real-time Polyp Detection System on Adult Colonos

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 ra

Condition(s)Colonic Polyp
StatusRecruiting
Study typeObservational
SummaryBackground: 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 colon
Who can participateInclusion Criteria: * all adult patients going for colonoscopy in the our institution Exclusion Criteria: * Patients with incomplete or failed colonoscopy, flexible sigmoidoscopy, colonoscopy done after previous colorectal cancers or previous colonic resections, patients with poor bowel preparation, when deemed by the endoscopist to have an incomplete assessment of the colon
Ages21 Years to 90 Years
SexAll
Lead sponsorSengkang General Hospital
LocationsSingapore, Singapore, Singapore
Start date2023-01-02
NCT IDNCT05822895
Official listinghttps://clinicaltrials.gov/study/NCT05822895

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