BACKGROUND: Choledochal cysts are rare congenital disease of the biliary system. The recommended treatment of these lesions is surgical excision with biliary enteric reconstruction. In patients with normal anatomy, Roux-en-Y hepaticojejunostomy is pr...
Background CT deep learning reconstruction (DLR) algorithms have been developed to remove image noise. How the DLR affects image quality and radiation dose reduction has yet to be fully investigated. Purpose To investigate a DLR algorithm's dose redu...
BACKGROUND: The study aimed to construct an intelligent difficulty scoring and assistance system (DSAS) for endoscopic retrograde cholangiopancreatography (ERCP) treatment of common bile duct (CBD) stones.
Journal of gastroenterology and hepatology
34097761
BACKGROUND AND AIM: Magnetic resonance cholangiopancreatography (MRCP) can accurately diagnose common bile duct (CBD) stones but is laborious to interpret. We developed an artificial neural network (ANN) capable of automatically assisting physicians ...
The generally accepted method for choledochal cysts is total resection of cystic extrahepatic bile ducts and gallbladder followed by biliodigestive anastomosis. Minimally invasive interventions have recently become the «gold» standard in pediatric he...
BACKGROUNDS AND AIMS: Magnetic resonance cholangiopancreatography (MRCP) plays a significant role in diagnosing common bile duct stones (CBDS). Currently, there are no studies to detect CBDS by using the deep learning (DL) model in MRCP. This study a...
AIMS: To develop an auto-categorization system based on machine learning for three-dimensional magnetic resonance cholangiopancreatography (3D MRCP) to detect choledocholithiasis from healthy and symptomatic individuals.