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Clinical Trial Summary

Computer aided detection (CADe) algorithms have been developed to overcome human errors and assist endoscopists in detecting more polyps during colonoscopy. The aim of this study was to investigate the accuracy of the novel Pentax Discovery CADe system (Discovery-AI) against pre-recorded videos of colon polyps of various size, shape and pathology while using videos of normal colon segments as controls from two different institutes.


Clinical Trial Description

Details regarding polyp size and location, morphology including Paris classification, optical assessment, and bowel preparation were prospectively collected and recorded in the online Redcap software. Final results of polyp histology were also collected. The video library was then independently reviewed for quality assessment by 3 experienced gastroenterologists. Videos that passed the initial quality assessment were then independently evaluated using the Discovery-AI system. Aim of the study was to evaluate overall performance of Discovery-AI system for polyps of various size, morphology and pathology utilizing a prospectively developed video library. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT04777019
Study type Observational
Source The University of Texas Health Science Center, Houston
Contact Prithvi B Patil, MS
Phone 7134801179
Email prithvi.b.patil@uth.tmc.edu
Status Recruiting
Phase
Start date June 7, 2020
Completion date June 6, 2025

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