Pancreatic Diseases

Bile extracellular vesicles for early cholangiocarcinoma detection in primary sclerosing cholangitis.

BACKGROUND & AIMS: Cholangiocarcinoma (CCA) is a major complication of primary sclerosing cholangiti...

Evaluating cellular communication sensing for lapse risk prediction during early recovery from alcohol use disorder: A longitudinal observational study.

Alcohol Use Disorder (AUD) is a chronic, relapsing condition, and identifying periods of elevated la...

Advanced gene editing technologies for oncology mechanisms, applications, and clinical implementation.

Advanced gene editing tools have transformed oncology by facilitating precise molecular therapies ai...

Development and validation of a machine learning-based model for identifying liver fibrosis in individuals with prior Schistosoma japonicum infection: a step toward precision management.

BACKGROUND: Liver fibrosis caused by Schistosoma japonicum may continue to progress even following s...

Biofabrication and artificial intelligence strategies for investigating solid- and fluid-pressure mechanobiology in pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is shaped by a mechanically abnormal tumor microenvironment ...

Linking bisphenol a exposure to pancreatic cancer: Evidence from population epidemiology, multi-omics screening, and cellular validation.

Bisphenol A (BPA) is a ubiquitous environmental endocrine disruptor; its association with pancreatic...

Influence of artificial intelligence on the performance of endosonographers in detection of solid pancreatic tumors: a tandem randomized video study.

BACKGROUND: This study aimed to evaluate the influence of a pre-commercial artificial intelligence (...

Integrating artificial intelligence and bioimpedance spectroscopy for enhanced pancreatic disease diagnosis.

The purpose of this study is to develop bioimpedance spectroscopy methods for diagnosing pancreatic ...

A multi-scale fusion model based on multi-phase contrast-enhanced CT for predicting pancreatic cancer resectability.

Purpose Develop a multi-scale fusion model (MSFM) based on multi-phase contrast-enhanced computed to...

Beyond Critical View of Safety: New Predictors of Objective Assessment of Critical View of Safety in Laparoscopic cholecystectomy-a Prospective Cohort Study.

BackgroundLaparoscopic cholecystectomy (LC) has revolutionised gallstone management. However, the in...

Development of a deep learning model for detecting and measuring gallstones on computed tomography images.

PURPOSE: To develop a deep learning model for the automated detection and measurement of gallstones ...

Construction and validation of a liquid neural network-based prediction model and bedside tool for spontaneous passage of common bile duct stones.

BACKGROUND: To construct and externally validate a liquid neural network (LNN)-based risk prediction...

An unsupervised machine learning analysis of biopsychosocial characteristics and treatment outcome of alcohol use disorder.

Background: Alcohol Use Disorder is a heterogeneous condition where standard severity measures often...

Interpretable machine learning for gallstone risk prediction: an ensemble stacking approach with SHAP analysis.

Gallstone disease is a gastrointestinal condition requiring accessible, low-cost screening tools. We...

Automated CT Volumetry of Peripancreatic Collections for Risk Stratification in Acute Pancreatitis: A Multicenter Retrospective Study.

RATIONALE AND OBJECTIVES: Extrapancreatic necrosis volume is an established prognostic marker in acu...

The Role of Artificial Intelligence Combined With Digital Cholangioscopy for Indeterminant and Malignant Biliary Strictures: A Systematic Review and Meta-analysis.

BACKGROUND: Current endoscopic retrograde cholangiopancreatography (ERCP) and cholangioscopic-based ...

Should Artificial Intelligence Direct Systemic Therapy Decisions in Pancreatic Cancer?

A simple parameter to guide plan optimization for robotic pancreas SBRT.

BACKGROUND AND PURPOSE: Pancreatic SBRT planning is challenging due to the proximity of highly sensi...

A catalyst-aware explainable machine learning framework for biodiesel yield prediction over metal-doped biochar and activated carbon catalysts.

Biodiesel production over metal-doped biochar and activated carbon (AC) catalysts involves complex n...

Spatially resolved tissue architecture and computational pathology in pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) is a complex disease characterized by high levels of cellula...

Predicting Outcomes of Traumatic Brain Injury Using Machine Learning Models Among Patients at Kilimanjaro Christian Medical Centre, Tanzania: A Registry-Based Cohort Study.

BACKGROUND: Traumatic brain injury (TBI) remains a major global health burden, disproportionately af...