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 …

Pancreatic and biliary diseases encompass a range of conditions requiring accurate
diagnosis for appropriate treatment strategies. This diagnosis relies heavily on imaging …

We propose a novel deep neural network architecture to learn interpretable representation
for medical image analysis. Our architecture generates a global attention for region of …

Background Gallbladder cancer (GBC) is highly aggressive. Diagnosis of GBC is
challenging as benign gallbladder lesions can have similar imaging features. We aim to …

Background Accurately diagnosing gallbladder polyps (GBPs) is important to avoid
misdiagnosis and overtreatment. Aims To evaluate the efficacy of a deep learning model …

In recent years automated Gallbladder Cancer (GBC) detection has gained the attention of
researchers. Current state-of-the-art (SOTA) methodologies relying on ultrasound …

Abstract The distinction between Xanthogranulomatous Cholecystitis (XGC) and Gallbladder
Carcinoma (GBC) is challenging due to their similar imaging features. This study aimed to …

The purpose of this study is to establish a deep learning automatic assistance diagnosis
system for benign and malignant classification of mediastinal lesions in endobronchial …

Background The differential diagnosis between gallbladder cancer (GBC) and
xanthogranulomatous cholecystitis (XGC) remains quite challenging, and can possibly lead …

Gallbladder cancer (GBC) is a rare and lethal malignancy; however, it represents the most
common type of biliary tract cancer. Patients with GBC are often diagnosed at an advanced …