Gastroenterology

Pancreatic Diseases

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

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Pancreas segmentation in CT scans: A novel MOMUNet based workflow.

Automatic pancreas segmentation in CT scans is crucial for various medical applications, including e...

Advances in pancreatic cancer diagnosis: from DNA methylation to AI-assisted imaging.

INTRODUCTION: Pancreatic Cancer (PC) is a highly aggressive tumor that is mainly diagnosed at later ...

Development and preliminary testing of a secure large language model-based chatbot for brief alcohol counseling in young adults.

OBJECTIVE: Young adults face elevated risks from alcohol use yet encounter significant barriers to a...

Development and validation of a machine learning prognostic model based on an epigenomic signature in patients with pancreatic ductal adenocarcinoma.

BACKGROUND: In Pancreatic Ductal Adenocarcinoma (PDAC), current prognostic scores are unable to full...

From classical approaches to artificial intelligence, old and new tools for PDAC risk stratification and prediction.

Pancreatic ductal adenocarcinoma (PDAC) is recognized as one of the most lethal malignancies, charac...

LUNETR: Language-Infused UNETR for precise pancreatic tumor segmentation in 3D medical image.

The identification of early micro-lesions and adjacent blood vessels in CT scans plays a pivotal rol...

Machine Learning Prediction of Pancreatitis Risk With Antithyroid Drugs: A Nationwide Retrospective Observational Study.

BACKGROUND: In recent years, there has been increasing data showing that the risk of acute pancreati...

Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder.

BACKGROUND: Early diagnosis and treatment of mental illnesses is hampered by the lack of reliable ma...

Pathway Enrichment-Based Unsupervised Learning Identifies Novel Subtypes of Cancer-Associated Fibroblasts in Pancreatic Ductal Adenocarcinoma.

Existing single-cell clustering methods are based on gene expressions that are susceptible to dropou...

Sarcopenia and frailty: An in-depth analysis of the pathophysiology and effect on liver transplant candidates.

Cirrhosis represents the end stage of chronic liver disease, significantly reducing life expectancy ...

Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit.

BACKGROUND: Acute pancreatitis (AP) represents a critical medical condition where timely and precise...

Development and validation of machine learning nomograms for predicting survival in stage IV pancreatic cancer: A retrospective study.

BACKGROUND: Stage IV pancreatic cancer (PC) has a poor prognosis and lacks individualized prognostic...

Sociodemographic Profile of People with Diagnosed Pancreatic Cancer in the UK: Retrospective Sentinel Network Cohort Study.

Pancreatic cancer is a devasting disease which is an increasing cause of cancer mortality. The aim o...

Past, Present and Future Perspectives of Forensic Genetics.

Forensic genetics has experienced remarkable advancements over the past decades, evolving from the a...

Constructing a prediction model for acute pancreatitis severity based on liquid neural network.

Acute pancreatitis (AP) is a common disease, and severe acute pancreatitis (SAP) has a high morbidit...

Enhancing noninvasive pancreatic cystic neoplasm diagnosis with multimodal machine learning.

Pancreatic cystic neoplasms (PCNs) are a complex group of lesions with a spectrum of malignancy. Acc...

Emerging biomarkers for pancreatic cancer: from early detection to personalized therapy.

Pancreatic cancer (PC) remains one of the most lethal malignancies, primarily due to its poor progno...

Construction of disability risk prediction model for the elderly based on machine learning.

The study aimed to develop a predictive model using machine learning algorithms, providing healthcar...

Association between urinary cadmium levels and increased gallstone disease in US adults.

Heavy metal exposure is acknowledged as a risk factor for poor health. However, the effect of heavy ...

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