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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


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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