Real-time Computer-Aided Detection of Colonic Adenomas With NEC WISE VISION® Endoscopy

This study aims to evaluate whether NEC WISE VISION® Endoscopy enhances the ability to detect mucosal lesions when compared with the current standard-of-care procedure (high-definition white light [HDWL] colonoscopy). The CADe device, Wise VISION® Endoscopy, contains an artificial intelligence/machine learning (AI/ML) advanced algorithm to aid the endoscopists in detection of colonic lesions.

This study plans to enrol 830 subjects aged ≥ 45 years and < 75 years, who are scheduled for screening or surveillance colonoscopy.

After review of the inclusion and exclusion criteria, eligible subjects will be randomized in a 1:1 ratio to receive either computer-aided colonoscopy (CADe Group) or standard colonoscopy without CADe (Standard Colonoscopy Group).

All adenomas, that are identified during the colonoscopies, will be removed and biopsied as per standard clinical practice to assess adenoma miss rate, polyp miss rate, adenomas per colonoscopy and other endpoints.

Inclusion criteria

• Patient is presenting to the endoscopy unit for colon cancer screening or surveillance colonoscopy.
• Signed Informed Consent

Exclusion criteria

• Contraindications to colonoscopy
• Colonoscopy within the previous three (3) years
• High-risk indications for colonoscopy
• Antithrombotic therapy that cannot be stopped, precluding polyp resection
• Inflammatory bowel disease
• Referred for endoscopic mucosal resection (EMR)
• Familial adenomatous polyposis syndrome or Serrated Polyposis Syndrome
• Pregnant or planning a pregnancy during the study period