Gastroenterology

Pancreatic Diseases

Latest AI and machine learning research in pancreatic diseases for healthcare professionals.

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Showing 148-168 of 7,011 articles
A Novel Mouse Model of Type 2 Diabetes Using a Medium-Fat Diet, Fructose, and Streptozotocin to Study the Complications of Human Disease.

The study of type 2 diabetes mellitus (T2DM) pathophysiology relies mainly on the use of animal mode...

Enhancing pancreatic cancer diagnostics: Ensemble-based model for automated urine biomarker classification.

This research addresses the critical challenge of early detection in pancreatic ductal adenocarcinom...

Remote sensing of alcohol consumption using machine learning speckle pattern analysis.

SIGNIFICANCE: Alcohol consumption monitoring is essential for forensic and healthcare applications. ...

Machine learning for the rElapse risk eValuation in acute biliary pancreatitis: The deep learning MINERVA study protocol.

BACKGROUND: Mild acute biliary pancreatitis (MABP) presents significant clinical and economic challe...

Explainable machine learning model for predicting acute pancreatitis mortality in the intensive care unit.

BACKGROUND: Current prediction models are suboptimal for determining mortality risk in patients with...

A systematic review of machine learning-based prognostic models for acute pancreatitis: Towards improving methods and reporting quality.

BACKGROUND: An accurate prognostic tool is essential to aid clinical decision-making (e.g., patient ...

Resveratrol in animal models of pancreatitis and pancreatic cancer: A systematic review with machine learning.

BACKGROUND: Resveratrol (RES), a common type of plant polyphenols, has demonstrated promising therap...

CT Imaging of the Pancreas: A Review of Current Developments and Applications.

Pancreatic cancer continues to pose daily challenges to clinicians, radiologists, and researchers. T...

Biomarkers, omics and artificial intelligence for early detection of pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) is frequently diagnosed in its late stages when treatment op...

Machine Learning-Driven Modeling to Predict Postdischarge Venous Thromboembolism After Pancreatectomy for Pancreas Cancer.

BACKGROUND: Postdischarge venous thromboembolism (pdVTE) is a life-threatening complication followin...

The Mechanism of Bisphenol S-Induced Atherosclerosis Elucidated Based on Network Toxicology, Molecular Docking, and Machine Learning.

The increasing prevalence of environmental pollutants has raised public concern about their potentia...

Impact of Sepsis Onset Timing on All-Cause Mortality in Acute Pancreatitis: A Multicenter Retrospective Cohort Study.

BackgroundSepsis complicates acute pancreatitis (AP), increasing mortality risk. Few studies have ex...

Explaining electroencephalogram channel and subband sensitivity for alcoholism detection.

Alcoholism, a progressive loss of control over alcohol consumption, deteriorates mental and physical...

A deep learning detection method for pancreatic cystic neoplasm based on Mamba architecture.

OBJECTIVE: Early diagnosis of pancreatic cystic neoplasm (PCN) is crucial for patient survival. This...

Neural Network-Assisted Dual-Functional Hydrogel-Based Microfluidic SERS Sensing for Divisional Recognition of Multimolecule Fingerprint.

To enhance the sensitivity, integration, and practicality of the Raman detection system, a deep lear...

Machine learning via DARTS-Optimized MobileViT models for pancreatic Cancer diagnosis with graph-based deep learning.

The diagnosis of pancreatic cancer presents a significant challenge due to the asymptomatic nature o...

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