Pancreatic Diseases

Nalmefene and naltrexone reduce alcohol intake via selective efficacy in subpopulations distinguished by behavioral and blood-based biomarkers.

BACKGROUND: The relative efficacies of nalmefene versus naltrexone for alcohol use disorder is the s...

Comparative study of 11 machine learning algorithms for predicting recurrence risk after atrial fibrillation catheter ablation based on a real-world cohort: a retrospective study.

BACKGROUND: Atrial fibrillation (AF) is the most common arrhythmia worldwide, with catheter ablation...

Automated detection of gallbladder stones using a deep learning algorithm on computed tomography scans.

PURPOSE: To develop and evaluate the diagnostic accuracy of a deep learning algorithm for automated ...

Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs.

PURPOSE: Distinguishing high-risk intraductal papillary mucinous neoplasms (IPMNs) from low-risk les...

Toward clinical implementation of interpretable machine learning for early risk stratification in acute pancreatitis.

C2HFusion: Clinical context-driven hierarchical fusion of multimodal data for personalized and quantitative prognostic assessment in pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy. Accurate prognostic model...

Uncovering the potential of pathomics: prognostic prediction and mechanistic investigation of pancreatic cancer.

A machine learning-based pathomics model was investigated for its value and biological significance ...

Emerging Diagnostic Indications for Endoscopic Ultrasound.

Endoscopic ultrasound (EUS) has evolved from a diagnostic imaging tool into a versatile platform tha...

A multicenter multinational retrospective study of the 1-year natural history of LI-RADS 3 observations in patients with cirrhosis.

OBJECTIVES: To assess the 1-year natural history of liver imaging reporting and data system (LI-RADS...

Acceleration of chemical shift encoding-based water-fat imaging for pancreatic proton density fat fraction mapping in a single breath-hold: Data from the LION study.

PURPOSE: With the rising prevalence of obesity and metabolic syndrome, there is an increasing need f...

Development and validation of interpretable machine learning models for dynamic prediction of prognosis in acute pancreatitis complicated by acute kidney injury: A multicenter study.

OBJECTIVE: This study aims to develop and validate interpretable machine learning (ML) models to dyn...

Precision prediction of posttraumatic stress disorder symptom surges: A pilot study integrating real-time daily data with supervised learning.

The application of machine learning algorithms to daily diary data represents a valuable tool for im...

Molecular mechanism and structure-activity relationships of natural source polysaccharides in intervening type 2 diabetes mellitus through antioxidant effects: A systematic review.

Type 2 diabetes mellitus (T2DM) is a prevalent metabolic disorder closely associated with oxidative ...

A bibliometric analysis of the 100 most cited radiology papers on pancreatic diseases (1990-Present).

PURPOSE: To map the intellectual evolution of pancreatic radiology through a comprehensive bibliomet...

The basis for future personalized therapy approaches - Machine learning-generated 1-year survival rate, metastatic status and therapy-dependent survival in pancreatic cancer patients.

BACKGROUND: Pancreatic adenocarcinoma (PDAC) remains one of the most lethal types of cancer, charact...

Co3[Co(CN)6]2-Mediated Olfactory and Visual Dual-Modality Ammonia Sensing.

In the emerging ammonia (NH3) economy, both olfactory and visual sensing are desired for leakage det...

Modulating tumor mechanics and vascular barriers to enhance chemotherapy efficacy in pancreatic tumors and melanoma.

Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense stroma and dysfunctional vascula...

Interpretable fusion deep learning on super-resolution MRI for perineural invasion prediction in pancreatic ductal adenocarcinoma: a multicenter study.

PURPOSE: To develop an interpretable fusion deep learning model based on super-resolution (SR) MRI f...

Clinical practice, barriers to implementation, and priorities for equitable access of Stereotactic Body Radiation Therapy: An analysis of the global status by the ESTRO SBRT Focus Group.

BACKGROUND: Stereotactic Body Radiation Therapy (SBRT) has become an established treatment for sever...

Emerging nanoparticle-based therapies for pancreatic cancer: Current clinical landscape.

Pancreatic cancer, particularly ductal adenocarcinoma (PDAC) is one of the most aggressive and letha...

Your brain doesn't look a day past 70! Cross-sectional associations with brain-predicted age in the cognitively-intact oldest-old.

The cognitively-intact oldest-old (85 +) may be the most-resilient members of their birth cohort; du...