The Use of Artificial Intelligence Real-time Feedback to Improve Compliance to a Standardised Protocol and Procedural Quality During Oesophagogastroduodenoscopy (OGD)
The Use of Artificial Intelligence Real-time Feedback to Improve Compliance to a Standardised Protocol and Procedural Quality During Oesophagogastroduodenoscopy (OGD)
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.
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shannonchan@surgery.cuhk.edu.hk35052627
philipchiu@surgery.cuhk.edu.hk35052627