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Development and Validation of an Artificial Intelligence System for Bowel Preparation Quality Scoring

Colonic Disease Clinical Trial

Official title:
Development and Validation of an Artificial Intelligence System for Bowel Preparation Quality Scoring

Clinical Trial Summary

The purpose of this study is to develop and validate the accuracy and reliability of an artificial intelligence(AI) system for bowel preparation quality scoring based of Boston Bowel preparation Scoring(BBPS). Then evaluate whether this AI system can help endoscopists to improve the quality of colonoscopy in clinical practice.

Clinical Trial Description

Bowel preparation is one of the most important factors which decide the quality of colonoscopy. Adequate bowel preparation is essential to guarantee a clear vision of colonic mucosa, complete inspection of entire colon and improves the adenoma detection rates(ADRs). Therefore, the quality of bowel preparation should be evaluated accurately and objectively. However, current bowel preparation quality scales depend on memories and subjective decision of endoscopists. Recently, articifial intelligence system based on deep learning algorithm has been used widely in medical fields. But, few studies have been reported to evaluate the performance of AI system based on deep learning in bowel preparation quality scoring. This study aims to develop and train an AI system to assess bowel preparation quality using the BBPS, and validate the AI system to improve the quality of colonoscopy. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04487626
Study type Interventional
Source National Cancer Center, Korea
Contact
Status Completed
Phase N/A
Start date July 1, 2020
Completion date December 30, 2020
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