Latest AI and machine learning research in pancreatic diseases for healthcare professionals.
The number of mutated genes in cancer cells is far larger than the number of mutations that drive ca...
Neural networks were tested on infrared images of faces for discriminating intoxicated persons. The ...
BACKGROUND: Laparoscopic distal pancreatectomy (LDP) is increasing in popularity thanks to the benef...
INTRODUCTION: As many as 3% of computed tomography (CT) scans detect pancreatic cysts. Because pancr...
BACKGROUND: To compare the incidences of postoperative pancreatic fistula (POPF) between robot-assis...
BACKGROUND: The indications for minimally invasive (MIS) pancreatectomy have slowly increased as exp...
Plasma procalcitonin (PCT) is a highly specific marker for the diagnosis of bacterial infection and ...
Semantic segmentation of whole-slide images (WSIs) quantifies tissue composition and architecture, b...
Longitudinal electronic health records (EHRs) contain complementary diagnostic and laboratory inform...
Pancreatic lipomatosis, characterized by progressive adipose replacement of the exocrine pancreas, i...
Research shows that genetic variation directly influences DNA methylation, and this association has ...
Current state of the art computational pathology foundation models attain satisfying accuracy most g...
Scientific imaging is undergoing a fundamental transformation. Advances in multiplex immunofluoresce...
Accurate forecasting of pathological outcomes is a central problem in psychology. To do so, psycholo...
Type 1 diabetes (T1D) is a complex autoimmune disease characterized by the destruction of insulin-pr...
Alcohol intoxication is a leading contributor to fatal and severe-injured e-scooterist crashes. Curr...
Mutational signatures reveal cancer-driving processes with clinical relevance: MMR-deficient tumors ...
Survival research in pancreatic ductal adenocarcinoma (PDAC) is limited by the scarcity of datasets ...
Language models for cancer clinical reports carry two blind spots. They read each report in isolatio...
Objective: The goal was to integrate structured and unstructured data from the electronic health rec...
While large language models are powerful generators of new text, forecasting disease progression fro...