Duodenal dysbiosis may be potential infection risks in patients with severe acute pancreatitis (SAP). Acid-suppression drugs (ACDs) are widely used in SAP patients in Asian countries. However, the impact of ACDs on duodenal microbiota during the early phase of SAP is still unknown.
View Article and Find Full Text PDFBackground: This study was aimed to develop a computer-aided diagnosis (CAD) system with deep-learning technique and to validate its efficiency on detecting the four categories of lesions such as polyps, advanced cancer, erosion/ulcer and varices at endoscopy.
Methods: A deep convolutional neural network (CNN) that consists of more than 50 layers were trained with a big dataset containing 327,121 white light images (WLI) of endoscopy from 117,005 cases collected from 2012 to 2017. Two CAD models were developed using images with or without annotation of the training dataset.