Latest AI and machine learning research in pancreatic diseases for healthcare professionals.
PURPOSE: Earlier work showed that IVIM-NET , an unsupervised physics-informed deep neural network, w...
: Experiences with psychedelic drugs, such as psilocybin or lysergic acid diethylamide (LSD), are so...
BACKGROUND: Pancreatic cancer (PC) represents a substantial public health burden. Pancreatic cancer ...
Minimally invasive distal pancreatectomy has become increasingly used in practice. While laparoscopi...
De-oiled rice bran (DORB) is a potentially useful by-product of the rice bran oil industry. DORB may...
Pancreas segmentation in medical imaging is of great significance for clinical pancreas diagnostics ...
PURPOSE: Accurate deformable registration between computed tomography (CT) and cone-beam CT (CBCT) i...
PURPOSE: To evaluate image quality, image noise, and conspicuity of pancreatic ductal adenocarcinoma...
PURPOSE: To construct a deep convolutional neural network that generates virtual monochromatic image...
Microfluidic encapsulation of cells/tissues in hydrogel microcapsules has attracted tremendous atten...
As an important bio-based chemical, methyl levulinate (ML) can be produced enzymatic esterification...
Cortisol is a glucocorticoid hormone that is critical to immune system functioning. Studies show tha...
Histopathological diagnosis of pancreatic ductal adenocarcinoma (PDAC) on endoscopic ultrasonography...
The advancement of artificial intelligence (AI) has facilitated its application in medical fields. H...
OBJECTIVE: Quality gaps in medical imaging datasets lead to profound errors in experiments. Our obje...
PURPOSE: Several multi-omics classifications have been proposed for hepato-pancreato-biliary (HPB) c...
Prediction of long-term survival in patients with invasive intraductal papillary mucinous neoplasm (...
The aim of this study was to apply artificial neural networks as deep learning tools in establishing...
Automatic pancreas segmentation is crucial to the diagnostic assessment of diabetes or pancreatic ca...
PURPOSE: To develop a two-stage three-dimensional (3D) convolutional neural networks (CNNs) for full...
BACKGROUND: Robotic distal pancreatectomy has been accepted to be safe and effective for pancreatic ...