Gastroenterology

Pancreatic Diseases

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

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Showing 1576-1596 of 6,437 articles
Cannabis Use Documentation within the Electronic Health Record: A Use Case for Natural Language Processing Methods

Introduction: Recreational and medical cannabis use (CU) information is often available within the e...

Machine learning-based prediction of cardiovascular disease risk in Africa using WHO Stepwise Surveys: 2014-2019

Introduction: Cardiovascular diseases (CVDs) are the leading cause of death globally, with rising bu...

From Global Radiomics to Parametric Maps: A Unified Workflow Fusing Radiomics and Deep Learning for PDAC Detection

Radiomics and deep learning both offer powerful tools for quantitative medical imaging, but most exi...

Geometric-aware and interpretable deep learning for single-cell batch correction via explicit disentanglement and optimal transport

Single-cell RNA sequencing enables high-resolution characterization of cellular heterogeneity, yet i...

Disparities, Perceived Discrimination, and Patient-Clinician Communication in Alcohol Use Disorder Treatment: An All of Us Cohort Study

Background and Aims: Alcohol use disorder (AUD) remains a major public health concern, with persiste...

Biomarker Identification in Pancreatic Cancer Through Concordant Differential Expression and Interpretable Machine Learning Analyses

Background: Pancreatic ductal adenocarcinoma is one of the most aggressive and lethal malignancies o...

CausalCellInfer: Resolving cell-type-specific disease mechanisms from biobank-scale GWAS

Integrating the cellular resolution of single-cell RNA sequencing (scRNA-seq) with the phenotypic de...

Network-based integration of gene expression and DNA methylation identifies prognostic biomarkers for early-stage pancreatic cancer

Pancreatic ductal adenocarcinoma remains one of the most lethal malignancies, largely due to the abs...

Open-Source Offline-Deployable Retrieval-Augmented Large Language Model for Assisting Pancreatic Cancer Staging

Purpose: Large language models (LLMs) are increasingly applied in radiology, but key challenges rema...

SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information

Purpose: To develop SCOPE (Small-lesion COntextual Pancreatic Evaluator), a deep learning model desi...

Fast Organ-of-Origin Classification for Digital Pathology Quality Control

Digitizing large histopathology archives requires processing millions of scanned whole slide images ...

Transcriptomics-based modeling of methionine metabolism effectively estimates sample-wise DNA methylation activity and epigenetic aging

DNA methylation is a central epigenetic modification that regulates gene expression, maintains genom...

Identifying and Characterizing Gallstone Disease from Clinical Narratives with Zero-shot Learning and Automated Prompt Optimization

We built and evaluated a zero-shot LLM pipeline with automated, task-aware prompt optimization to ex...

Early and Prediagnostic Detection of Pancreatic Cancer from Computed Tomography

Pancreatic ductal adenocarcinoma (PDAC), one of the deadliest solid malignancies, is often detected ...

Predicting Gene Disease Associations in Type 2 Diabetes Using Machine Learning on Single-Cell RNA-Seq Data

Diabetes is a chronic metabolic disorder characterized by elevated blood glucose levels due to impai...

Curated endoscopic retrograde cholangiopancreatography images dataset

Endoscopic Retrograde Cholangiopancreatography (ERCP) is a key procedure in the diagnosis and treatm...

Refining cardiometabolic risk assessment using MRI-derived pancreas volume and fat content: insights from the NAKO and UK Biobank

BackgroundThe pancreas is essential for metabolic homeostasis. Alterations in morphology and parench...

Leveraging Pretrained Vision Transformers for classifying Alcohol Use Disorder using Raw Resting-State EEG

Alcohol Use Disorder (AUD) is a prevalent and debilitating neuropsychiatric condition characterized ...

Integration of multi-omics data and machine learning to identify antioxidant biomarkers in type 1 diabetes.

The identification of biomarkers for early diagnosis and monitoring the progression of Type 1 Diabet...

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