Purpose of review In this review, we aim to summarize the existing literature and future
directions on the use of artificial intelligence (AI) for the diagnosis and treatment of PB …

Current endoscopic approaches to biliary strictures : Current Opinion in Gastroenterology
Current endoscopic approaches to biliary strictures : Current Opinion in Gastroenterology Log …

Background and Aims Accurately diagnosing malignant biliary strictures (MBSs) as benign
or malignant remains challenging. It has been suggested that direct visualization and …

Background and Aims It is crucial to accurately determine malignant biliary strictures (MBSs)
for early curative treatment. This study aimed to develop a real-time interpretable artificial …

Predicting the static yield stress (τ 0 S) is relevant to design innovative concrete
technologies. This paper evaluated three machine learning methods to choose the most …

Background We aimed to develop a convolutional neural network (CNN) model for detecting
neoplastic lesions during real-time digital single-operator cholangioscopy (DSOC) and to …

Background Artificial intelligence (AI), when applied to computer vision using a
convolutional neural network (CNN), is a promising tool in “difficult-to-diagnose” conditions …

Introduction Artificial intelligence (AI), by means of computer vision in machine learning, is a
promising tool for cholangiocarcinoma (CCA) diagnosis. The aim of this study was to provide …

Intrahepatic cholangiocarcinoma (iCCA) is the second most common malignant primary liver
cancer. iCCA may develop on an underlying chronic liver disease and its incidence is …

Background and Objectives: Device-assisted enteroscopy (DAE) allows deep exploration of
the small bowel and combines diagnostic and therapeutic capacities. Suspected mid …