https://www.selleckchem.com/products/bay-3827.html
Esophagogastroduodenoscopy (EGD) is a prerequisite for detecting upper gastrointestinal lesions especially early gastric cancer (EGC). An artificial intelligence system has been shown to monitor blind spots during EGD. In this study, we updated the system (ENDOANGEL), verified its effectiveness in improving endoscopy quality, and pretested its performance in detecting EGC in a multicenter randomized controlled trial. ENDOANGEL was developed using deep convolutional neural networks and deep reinforcement learning. Patients undergoing EG
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