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.
Study Type
OBSERVATIONAL
Enrollment
210
The artificial intelligence system Cerebro would be used during OGD
The Chinese University of Hong Kong
Hong Kong, Hong Kong
RECRUITINGThe number of sites inspected during OGD
There is a standardised 28 sites the trainee endoscopist need to inspect
Time frame: During the procedure
Overall inspection time
The overall inspection time during the OGD would be recorded in terms of seconds
Time frame: During the procedure
The individual sites inspection time
The individual inspection time of the 28 sites during OGD would be recorded in terms of seconds
Time frame: During the procedure
The number of positive pathologies found on OGD
The number of positive pathologies found on OGD would be recorded
Time frame: during the procedure
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