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Clinical Trial Summary

The purpose of this project is to examine the role of machine learning and computer aided diagnostics in automatic polyp detection and to determine in real-time how a computer-aided detection (CADe) algorithm will perform when compared to standard screening or surveillance colonoscopy alone. Design will be a multi-center, prospective, unblinded randomized tandem colonoscopy study. 196 patients referred for either screening or surveillance colonoscopy will be included.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT04074577
Study type Interventional
Source NYU Langone Health
Contact
Status Completed
Phase N/A
Start date September 17, 2020
Completion date October 14, 2020

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