In response to the latest knowledge and the amendment of the Japanese diagnostic criteria
for autoimmune pancreatitis (AIP) in 2018, the Japanese consensus guidelines for …

Artificial Intelligence (AI) is set to transform medical imaging by leveraging the vast data
contained in medical images. Deep learning and radiomics are the two main AI methods …

Objective The diagnosis of autoimmune pancreatitis (AIP) is challenging. Sonographic and
cross-sectional imaging findings of AIP closely mimic pancreatic ductal adenocarcinoma …

Autoimmune pancreatitis (AIP) is an increasingly recognized disease classified into two
different subtypes based on histology. According to the International Diagnostic Criteria …

We aimed to develop a new artificial intelligence (AI)-based method for evaluating
endoscopic ultrasound-guided fine-needle biopsy (EUS-FNB) specimens in pancreatic …

Introduction Endoscopic ultrasound (EUS) provides high-resolution images of both
pancreatic parenchyma and duct and therefore is an integral component of evaluating and …

Background The efficacy of immune checkpoint blockade in the treatment of microsatellite
instability (MSI)-high tumors was recently reported. Therefore, the acquisition of histological …

Endoscopic-ultrasonography-guided tissue acquisition (EUS-TA) has been widely
performed for the definitive diagnosis of solid pancreatic lesions (SPLs). As the puncture …

In Japan, type 1 autoimmune pancreatitis (AIP) is the most common type of AIP; type 2 AIP is
rare. The aim of this study was to clarify the usefulness of endoscopic ultrasound-guided fine …

Purpose To evaluate the diagnostic performance of the radiomics score (rad-score) for
differentiating focal-type autoimmune pancreatitis (fAIP) from pancreatic ductal …