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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


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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