Pancreatic Diseases

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 prognosis for pancreatic cancer. This study was performed to develop an automatic and accurate imaging processing technique system, allowing this system to read computed tomography (CT) images correctly and make diagnosis of pancreatic cancer faster.

[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 vomiting. The levels of the tumor markers CEA and CA19-9 were elevated, at 39.47 ng/mL and 918.5 U/mL, respectively. She was diagnosed with peritonitis with digestive tract perforation by abdominal CT and an emergency operation was performed. At laparotomy, dirty ascites was observed in the peritoneal ca...

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 a sample of 212 healthy participants (mean age = ...

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 clinical notes with mentions of alcohol and substance abu...

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 of pancreatic cysts, which are identified in up to...

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 fundamental issue in both medical image analysis and compu...

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 adenocarcinoma. Artificial intelligence (AI) is a mat...

Artificial Intelligence and Deep Learning: The Future of Medicine and Medical Practice.

Artificial Intelligence (AI) and access to "Big Data" together with the evolving techniques in biotechnology will change the medical practice a big wa...

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 clinical notes of the electronic health record of trauma...

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-making in the management of potentially resectable pan...

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, gastric, liver, bile duct, pancreas, rectal and colo...

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 our study, we have investigated the level of ...

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 Africa. In this study, we investigated the effect...

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 potentially reduce hospital length of stay (HLOS). Patie...

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 a major cause for accidents as much as alcohol. In...

Convolutional Invasion and Expansion Networks for Tumor Growth Prediction.

Tumor growth is associated with cell invasion and mass-effect, which are traditionally formulated by mathematical models, namely reaction-diffusion eq...

[Can artificial intelligence be used for assessing a patient with alcohol dependence?].

Evaluation of Lignin-Modifying Enzyme Activity of Trametes spp. (Agaricomycetes) Isolated from Georgian Forests with an Emphasis on T. multicolor Biosynthetic Potential.

In this study, a wide diversity in lignin-modifying enzyme (LME) secretion by 11 Trametes spp. strains isolated from the forests of Georgia was reveal...

Minimally invasive surgical approach versus open procedure for pancreaticoduodenectomy: A systematic review and meta-analysis.

BACKGROUND: Minimally invasive pancreaticoduodenectomy (MIPD) remains one of the most challenging abdominal procedures. Safety and feasibility remain ...