Deep Learning Algorithm for the Diagnosis of Gastrointestinal Diseases

Status Recruiting

Clinical Trial Summary

The purpose of this study is to develop and validate a deep learning algorithm for the diagnosis of gastrointestinal diseases. Then, evaluate the accuracy this new artificial intelligence(AI) assisted recognition system in clinic practice.

Clinical Trial Description

Recently, deep learning algorithm based on central neural networks (CNN) has shown multiple potential in computer-aided detection and computer-aided diagnose of gastrointestinal lesions. However, there is still a blank in recognition of all gastrointestinal diseases. This study aim to develop and validate a deep learning algorithm for the diagnosis of gastrointestinal diseases. Then, evaluate the accuracy this new artificial intelligence(AI) assisted recognition system in clinic practice. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT04222439
Study type	Interventional
Source	Shandong University
Contact	Xiuli Zuo, MD,PhD
Phone	15588818685
Email	zuoxiuli@sdu.edu.cn
Status	Recruiting
Phase	N/A
Start date	January 1, 2020
Completion date	February 2020

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