The Use of AI to Improve Quality of OGD

Status Recruiting

Clinical Trial Summary

Early and accurate recognition of gastrointestinal lesions has implications for public health. The quality of oesophagogastroduodenoscopy (OGD) has great impact on the detection of oesophageal and gastric malignancies. An AI system, Cerebro, has been developed as a real-time recognition of a pre-defined 28 locations. This system would alert the endoscopist if the sites were not inspected with adequate time. The aim of the study is to investigate the use of AI in endoscopists-in-training during OGD to provide a real-time feedback for ensuring compliance to a standardized protocol for examination. The hypothesis is that the use of AI system Cerebro will significantly improve the compliance to the protocol and thereby reduce the blind spot rates of OGD, ensure adequate inspection time and ensure adequate photodocumentation.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT04883567
Study type	Observational
Source	Chinese University of Hong Kong
Contact	Shannon Chan
Phone	35052627
Email	shannonchan@surgery.cuhk.edu.hk
Status	Recruiting
Phase
Start date	May 1, 2021
Completion date	June 30, 2022

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