Pancreatic Diseases

Construction and validation of a prediction model for textbook outcome in distal cholangiocarcinoma undergoing pancreaticoduodenectomy based on six machine learning algorithms.

BACKGROUND: Textbook outcome (TO) serves as a validated composite metric for short-term surgical qua...

Machine Learning Approaches to Identify Physical, Psychological, and Social Predictors of Worsening Frailty Transitions Among Community-Dwelling Older Adults: A Longitudinal Cohort Study.

BACKGROUND: Frailty poses a significant challenge to aging societies, with increasing attention bein...

mRNA vaccines in cancer immunotherapy: current progress and perspectives in solid tumors and hematologic malignancies.

The unprecedented success of mRNA vaccines during the COVID-19 pandemic has accelerated the developm...

Machine Learning-assisted Prediction of Fluid Overload and Its Nursing Implications in Patients With Acute Pancreatitis.

Fluid overload (FO) is a critical complication in acute pancreatitis (AP), contributing to prolonged...

Explainable Prediction of ICU Transfer in Acute Pancreatitis: A Neural Network Model With SHAP Interpretability for Clinical Decision Support.

OBJECTIVE: Acute pancreatitis (AP) is a life-threatening disorder commonly observed in emergency dep...

Predictive Value of Machine Learning for Mortality Risk in Acute Pancreatitis: A Systematic Review and Meta-Analysis.

BACKGROUND: Acute pancreatitis (AP), a common acute abdominal disease, has a high mortality rate in ...

Risk Prediction Models for Post-Endoscopic Retrograde Cholangiopancreatography Pancreatitis: A Systematic Review and Meta-Analysis.

BACKGROUND: Endoscopic retrograde cholangiopancreatography (ERCP) serves as an essential procedure f...

Risk factors and early clinical outcomes of acute pancreatitis: A retrospective case series from Kyrgyzstan.

BACKGROUND: Acute pancreatitis (AP) is a common gastrointestinal emergency characterized by unpredic...

Transferability of radiomics models between deep learning and conventional CT reconstruction algorithms: A task-based assessment for stratifying acute pancreatitis severity.

BACKGROUND: Extensive evidence has demonstrated the superior image quality achieved through deep lea...

Usefulness of Artificial Intelligence for Surgical Support in Robot-assisted Distal Pancreatectomy: A Preliminary Case Report.

BACKGROUND/AIM: The incidence of postoperative complications in minimally-invasive surgery for pancr...

Multi-Omics and Machine Learning-Driven Discovery of ABCC8 (SUR1) for Diabetes Mellitus: Integrating Molecular Insights on Nigella sativa Bioactives and Sulfonylurea.

Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia and pancreatic β-ce...

X-LAT-Net: An Interpretable Lightweight Axial Transformer Network for Pancreatic CT Segmentation.

Accurate segmentation of the pancreas in CT images is notoriously difficult due to its deep-seated a...

CGE26-143: Radiomics and Machine Learning Models for Predicting Early Recurrence After Pancreatic Cancer Resection: A Systematic Review.

HSR26-230: Machine Learning Models Predict Depression Among Pancreatic and Head and Neck Cancers.

Technical challenges and quality considerations for dissolving microneedles.

Dissolving microneedles (DMNs) deliver therapeutic molecules by bypassing the stratum corneum upon s...

Whole Metagenomic Profiling Identifies a Gut Microbial Signature for Chronic Pancreatitis via Machine Learning.

BACKGROUND: Pancreatitis significantly alters the microbial composition of the oral and intestinal c...

A method for the assessment of rheumatoid arthritis using neural network supported static and dynamic thermal analysis.

Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by pain, swelling, stiffne...

Machine learning prediction of common bile duct stones using synthetic data to guide emergency ERCP decisions.

Endoscopic retrograde cholangiopancreatography (ERCP) remains the standard for common bile duct (CBD...

Hypergraph Representations of Single-Cell RNA Sequencing Data for Improved Cell Clustering.

MOTIVATION: Single-cell RNA sequencing (scRNA-seq) data analysis is often performed using network pr...

Exploring the association between Frailty Index and Knee osteoarthritis in middle-aged and older Chinese adults: A cross-sectional analysis of data from the China Health and Retirement Longitudinal Study.

OBJECTIVE: To explore the relationship between Frailty Index (FI) and Knee osteoarthritis (KOA) in C...

Leveraging Machine Learning to Predict Mental Health Referral Follow-up Among US Military Personnel.

BACKGROUND: Noncompliance with mental health referrals among US military personnel remains a signifi...