… in endoscopic assessment of ulcerative colitis (UC) and biopsies are often collected for
histologic evaluation. We sought to develop a deep neural network system for consistent, …

… is important in the management of patients with ulcerative colitis. We aimed to adapt our
previous deep neural network system (deep neural ulcerative colitis [DNUC]) to full video …

… Background and Aim: The identification of ulcerative colitis (… patients with inflammatory bowel
disease (IBD) were enrolled. A … based on a deep convolutional neural network (CNN) in the …

… in endoscopic assessment of ulcerative colitis (UC) and biopsies are often collected for
histologic evaluation. We sought to develop a deep neural network system for consistent, …

… in endoscopic assessment of ulcerative colitis (UC) and biopsies are often collected for
histologic evaluation. We sought to develop a deep neural network system for consistent, …

… “gold” standard for evaluating disease activity in ulcerative colitis (UC). An … We aimed to
develop and validate a neural network (NN) … We designed an accurate and non-invasive artificial …

… intestinal diseases (non-IBD). We then employed four commonly used ML models, namely …
perceptron artificial neural networks (MLP-ANN), radial basis function artificial neural network …

… Moreover, timing of surgery in acute severe colitis is still … patients with acute severe colitis
to establish the validity of the … )14 and artificial intelligence (artificial neural network, ANN).15 …

… (ulcerative colitis endoscopic index of severity score, UCEIS score; 0-8점)가 출력되도록
설정되었다. 정확도 검증을 위하여 2018년 4월부터 1년간 875명의 궤양성 대장염 환자의 4,187…

… Several machine learning and artificial neural network analyses predicted ulcerative
colitis against healthy donors using the autoimmune discovery gene expression panel. …