Deep-Learning for Automatic Polyp Detection During Colonoscopy

Status Completed

Clinical Trial Summary

The primary objective of this study is to examine the role of machine learning and computer aided diagnostics in automatic polyp detection and to determine whether a combination of colonoscopy and an automatic polyp detection software is a feasible way to increase adenoma detection rate compared to standard colonoscopy.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Screening Colonoscopy

Clinical Trial Details

NCT number	NCT03637712
Study type	Interventional
Source	NYU Langone Health
Contact
Status	Completed
Phase	N/A
Start date	September 1, 2018
Completion date	July 7, 2019

View Details

See also
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Completed	`NCT04838951` - Effect of Real-time Computer-aided System (ENDO-AID) on Adenoma Detection in Endoscopist-in-training	N/A