Application of artificial intelligence using a novel eus-based convolutional neural network model to identify and distinguish benign from malignant hepatic masses

Detection and characterization of focal liver lesions (FLLs) is key for optimizing treatment for patients who may have a primary hepatic cancer or metastatic disease to the liver. This is the first study to develop an endoscopic ultrasound (EUS)-based convolutional neural network (CNN) model for the purpose of identifying and classifying FLLs.

Source: Gastrointestinal Endoscopy - August 26, 2020 Category: Gastroenterology Authors: Neil B. Marya, Patrick D. Powers, Larissa Fujii-Lau, Barham Abu Dayyeh, Ferga C. Gleeson, Shigao Chen, Zaiyang Long, David Hough M, Vinay Chandrasekhara, Prasad Iyer, Elizabeth Rajan, William Sanchez, Tarek Sawas, Andrew Storm, Kenneth K. Wang, Michael J. Source Type: research