Pancreatic Diseases

Advanced imaging techniques for chronic pancreatitis.

MRI and MRCP play an important role in the diagnosis of chronic pancreatitis (CP) by imaging pancrea...

Identification of Individuals at Increased Risk for Pancreatic Cancer in a Community-Based Cohort of Patients With Suspected Chronic Pancreatitis.

OBJECTIVES: We lack reliable methods for identifying patients with chronic pancreatitis (CP) at incr...

Innovative Identification of Substance Use Predictors: Machine Learning in a National Sample of Mexican Children.

Machine learning provides a method of identifying factors that discriminate between substance users ...

Laparoscopic versus Robotic Peripheral Pancreatectomy: A Systematic Review and Meta-analysis.

PURPOSE: The current systematic review and meta-analysis aimed to compare Laparoscopic Distal Pancre...

Deep Learning Reveals Cancer Metastasis and Therapeutic Antibody Targeting in the Entire Body.

Reliable detection of disseminated tumor cells and of the biodistribution of tumor-targeting therape...

Establishment and application of an artificial intelligence diagnosis system for pancreatic cancer with a faster region-based convolutional neural network.

BACKGROUND: Early diagnosis and accurate staging are important to improve the cure rate and prognosi...

[A Case of Jejunal Ectopic Pancreatic Cancer with Intestinal Perforation].

This patient was a 96-year-old woman. She was referred to our hospital with abdominal pain and vomit...

Predicting post-experiment fatigue among healthy young adults: Random forest regression analysis.

The current study utilized a random forest regression analysis to predict post-experiment fatigue in...

Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience.

Extracting Alcohol and Substance Abuse Status from Clinical Notes: The Added Value of Nursing Data.

We applied an open source natural language processing (NLP) system "NimbleMiner" to identify clinica...

Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks.

The lethal nature of pancreatic ductal adenocarcinoma (PDAC) calls for early differential diagnosis ...

Pancreas Segmentation in Abdominal CT Scans using Inter-/Intra-Slice Contextual Information with a Cascade Neural Network.

Automatic pancreas segmentation with high precision in Computed Tomography (CT) images is a fundamen...

Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in Intraductal Papillary Mucinous Neoplasms of the Pancreas.

OBJECTIVES: Intraductal papillary mucinous neoplasms (IPMNs) are precursor lesions of pancreatic ade...

Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation.

OBJECTIVE: Alcohol misuse is present in over a quarter of trauma patients. Information in the clinic...

Personalized Pancreatic Cancer Management: A Systematic Review of How Machine Learning Is Supporting Decision-making.

This review critically analyzes how machine learning is being used to support clinical decision-maki...

GIDB: a knowledge database for the automated curation and multidimensional analysis of molecular signatures in gastrointestinal cancer.

Gastrointestinal (GI) cancer is common, characterized by high mortality, and includes oesophagus, ga...

The Comparison Between Different Immunoassays for Serum Carbohydrate Antigen (CA 19-9) Concentration Measurement.

INTRODUCTION: The carbohydrate antigen (CA 19-9) is a marker for pancreatic and colorectal carcinoma...

In Vitro Investigation of Potential Anti-Diabetic Activity of the Corm Extract of Hypoxis Argentea Harv. Ex Baker.

The corms of Hypoxis argentea are widely used as a traditional remedy for diabetes mellitus in South...

Same-Day Conventional Different-Day Endoscopic Retrograde Cholangiopancreatography and Laparoscopic Cholecystectomy: A Multi-Center Retrospective Study.

Same-day endoscopic retrograde cholangiopancreatography (ERCP) and cholecystectomy (LC) could potent...

Single-Channel Real-Time Drowsiness Detection Based on Electroencephalography.

The need of a reliable drowsiness detection system is arising today, as drowsiness is considered as ...

Convolutional Invasion and Expansion Networks for Tumor Growth Prediction.

Tumor growth is associated with cell invasion and mass-effect, which are traditionally formulated by...