Gastroenterology

Pancreatic Diseases

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

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Showing 1-21 of 7,011 articles
Serum peptide biomarkers by MALDI-TOF MS coupled with machine learning for diagnosis and classification of hepato-pancreato-biliary cancers.

This study aimed to investigate the potential of peptide mass fingerprints (PMFs) of the serum pepti...

The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer.

PURPOSE: To develop and validate a hybrid radiomics model to predict the overall survival in pancrea...

A Systematic Review on Effect of Bifidobacterium Isolated from Skin Microbiota on GLP-1 Production to Alleviate Human Ailments.

The skin, a complex ecosystem, hosts diverse microorganisms that interact with the immune system and...

Association between albumin-corrected anion gap and delirium in acute pancreatitis: insights from the MIMIC-IV database.

BACKGROUND: Delirium frequently occurs as a severe complication among patients with acute pancreatit...

Analysis of risk factors for DUI and DWI crashes considering the built environment.

The risk level of alcohol-involved traffic crashes is closely related to alcohol consumption. Howeve...

Can Machine Learning Predict Metastatic Sites in Pancreatic Ductal Adenocarcinoma? A Radiomic Analysis.

Pancreatic ductal adenocarcinoma (PDAC) exhibits high metastatic potential, with distinct prognoses ...

A dual self-attentive transformer U-Net model for precise pancreatic segmentation and fat fraction estimation.

Accurately segmenting the pancreas from abdominal computed tomography (CT) images is crucial for det...

[Tips and tricks for the cytological management of cysts].

Fine needle aspiration is a well-known procedure for the diagnosis and management of solid lesions. ...

Performance of Clinical Risk Prediction Models for Post-ERCP Pancreatitis: A Systematic Review.

OBJECTIVES: Pancreatitis is common following endoscopic retrograde cholangiopancreatography (ERCP). ...

METS-VF as a novel predictor of gallstones in U.S. adults: a cross-sectional analysis (NHANES 2017-2020).

BACKGROUND AND AIMS: Obesity is a well-established risk factor for gallstone formation, but traditio...

Machine learning-based design, screening, and activity validation of topoisomerase I inhibitors.

Topoisomerase I (TOP I) plays a vital role in maintaining genomic stability and regulating cellular ...

Intraductal Papillary Mucinous Neoplasm and Pancreatic Cancer: Opportunity Knocks Twice.

Pancreatic cystic lesions are widely recognized as harbingers of pancreatic cancer. Intraductal papi...

From promise to practice: a scoping review of AI applications in abdominal radiology.

AI is rapidly transforming abdominal radiology. This scoping review mapped current applications acro...

Interpretable machine learning-guided single-cell mapping deciphers multi-lineage pancreatic dysregulation in type 2 diabetes.

BACKGROUND: Pancreatic cellular heterogeneity is fundamental to systemic metabolic regulation, yet i...

Stigmatizing Language in Large Language Models for Alcohol and Substance Use Disorders: A Multimodel Evaluation and Prompt Engineering Approach.

OBJECTIVES: Large language models (LLMs) are increasingly used in health care communication but can ...

Artificial intelligence in pancreatic intraductal papillary mucinous neoplasm imaging: A systematic review.

Based on the Fukuoka and Kyoto international consensus guidelines, the current clinical management o...

Advances in IPMN imaging: deep learning-enhanced HASTE improves lesion assessment.

OBJECTIVE: The prevalence of asymptomatic pancreatic cysts is increasing due to advances in imaging ...

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