Artificial Intelligence for Real-time Detection and Monitoring of Colorectal Polyps

Official Title

Artificial Intelligence for Real-time Detection and Monitoring of Colorectal Polyps

Summary:

The investigators hypothesize that the clinical implementation of an AI system is an optimal tool to monitor, audit and improve the detection and classification of polyps during colonoscopy. The objectives of this study are to generate preliminary data to evaluate the effectiveness of AI-assisted colonoscopy on: a) the rate of detection of adenomas; b) the histological classification of polyps (which would reduce the need for pathological evaluation of polyps); c) the performance of endoscopists in detecting polyps and in the accuracy of polyp classification.

Trial Description

Primary Outcome:

  • Efficacy of detection of adenomas
Secondary Outcome:
  • Incomplete resection rate (IRR)
  • prediction of polyp histology

View this trial on ClinicalTrials.gov

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Resources

Canadian Cancer Society

These resources are provided in partnership with the Canadian Cancer Society