Impact of Automatic Polyp Detection System on Adenoma Detection Rate

Status Recruiting

Clinical Trial Summary

In recent years, with the continuous development of artificial intelligence, automatic polyp detection systems have shown its potential in increasing the colorectal lesions. Yet, whether this system can increase polyp and adenoma detection rates in the real clinical setting is still need to be proved. The primary objective of this study is to examine whether a combination of colonoscopy and a deep learning-based automatic polyp detection system is a feasible way to increase adenoma detection rate compared to standard colonoscopy.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT03967756
Study type	Interventional
Source	Changhai Hospital
Contact	Zhaoshen Li, M.D
Phone	86-21-31161365
Email	li.zhaoshen@hotmail.com
Status	Recruiting
Phase	N/A
Start date	June 1, 2019
Completion date	October 1, 2021

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