Artificial intelligence has been adopted in the field of gastrointestinal endoscopy. Investigators previously established deep-learning models to predict the histology and invasion depth of gastric lesions using endoscopic stillcut images. However, clinical benefit of this model has not been evaluated. This study aimed to find the CDSS-assisted upper GI endoscopy has clinical benefit compared to conventional routine screening upper GI endoscopy. Investigators will conduct a pilot randomized controlled study. Consecutive patients who visited Chuncheon Sacred Heart hospital will be allocated either to CDSS-assisted upper GI endoscopy or conventional routine screening upper GI endoscopy. The lesion detection rate will be compared between both groups. Expert endoscopists will conduct this randomized study.
This study aimed to find the CDSS-assisted upper GI endoscopy has clinical benefit compared to conventional routine screening upper GI endoscopy. Investigators will conduct a pilot randomized controlled study. Consecutive patients will be allocated either to CDSS-assisted upper GI endoscopy or conventional routine screening upper GI endoscopy. The lesion detection rate will be compared between both groups.