Gastroenterology

Selective Arterial Calcium Stimulation With Hepatic Venous Sampling in Immune-Mediated Hypoglycemia.

The purpose of the current study was to review the biochemical results of selective arterial calcium stimulation (SACST) with hepatic venous sampling in patients with immune-mediated hyperinsulinemic hypoglycemia. A retrospective review was undertaken of four patients with immune-mediated hyperinsulinemic hypoglycemia who underwent SACST with hepatic venous sampling from January 1996 to March 2014...

Subtotal hysterectomy by natural orifice transluminal endoscopic surgery.

STUDY OBJECTIVE: To introduce the innovative surgical procedure of treating benign uterine pathology with subtotal hysterectomy by natural orifice transluminal endoscopic surgery (NOTES).

Provider-specific quality measurement for ERCP using natural language processing.

BACKGROUND AND AIMS: Natural language processing (NLP) is an information retrieval technique that has been shown to accurately identify quality measur...

QSAR studies of the bioactivity of hepatitis C virus (HCV) NS3/4A protease inhibitors by multiple linear regression (MLR) and support vector machine (SVM).

In this study, quantitative structure-activity relationship (QSAR) models using various descriptor sets and training/test set selection methods were e...

Sofosbuvir-based regimens for the treatment of chronic hepatitis C in severe renal dysfunction.

Sofosbuvir (SOF) is a nonstructural 5B polymerase inhibitor with activity in all hepatitis C virus (HCV) genotypes and is the backbone of many anti-HC...

Hepatitis B reactivation in psoriasis patients treated with anti-TNF agents: prevention and management.

The risk of hepatitis B virus (HBV) reactivation (HBVr) in chronic HBV carriers, in occult HBV patients or in acute HBV patients affected by psoriasis...

Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method.

BACKGROUND: Celiac disease is one of the most common diseases in the world. Capsule endoscopy is an alternative way to visualize the entire small inte...

Comparison of Machine Learning Approaches for Prediction of Advanced Liver Fibrosis in Chronic Hepatitis C Patients.

BACKGROUND/AIM: Using machine learning approaches as non-invasive methods have been used recently as an alternative method in staging chronic liver di...

Robot-assisted intersphincteric resection facilitates an efficient sphincter-saving in patients with low rectal cancer.

PURPOSE: Few investigations of robot-assisted intersphincteric resection (ISR) are presently available to support this procedure as a safe and efficie...

Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs.

This paper presents a novel, fully automatic approach based on a fully convolutional network (FCN) for segmenting liver tumors from CT images. Specifi...

Gland Instance Segmentation Using Deep Multichannel Neural Networks.

OBJECTIVE: A new image instance segmentation method is proposed to segment individual glands (instances) in colon histology images. This process is ch...

Joint multiple fully connected convolutional neural network with extreme learning machine for hepatocellular carcinoma nuclei grading.

Accurate cell grading of cancerous tissue pathological image is of great importance in medical diagnosis and treatment. This paper proposes a joint mu...

Drug repositioning based on triangularly balanced structure for tissue-specific diseases in incomplete interactome.

Finding new uses for existing drugs has become a new strategy for decades to treat more patients. Few traditional approaches consider the tissue speci...

Computer vision-based diameter maps to study fluoroscopic recordings of small intestinal motility from conscious experimental animals.

BACKGROUND: When available, fluoroscopic recordings are a relatively cheap, non-invasive and technically straightforward way to study gastrointestinal...

A rare case of isolated castrate resistant bilateral testicular metastases in advanced prostate cancer.

Testicular metastasis is rare with the prostate being the most common site of primary cancer. We report a case of a 72-year-old man with castration-re...

Classification of toxicity effects of biotransformed hepatic drugs using whale optimized support vector machines.

Measuring toxicity is an important step in drug development. Nevertheless, the current experimental methods used to estimate the drug toxicity are exp...

Natural orifice transluminal endoscopic surgery with a snake-mechanism using a movable pulley.

BACKGROUND: Natural orifice transluminal endoscopic surgery is an emerging technique. We aimed to develop an advanced surgical robot mechanism for nat...

Computational methods using genome-wide association studies to predict radiotherapy complications and to identify correlative molecular processes.

The biological cause of clinically observed variability of normal tissue damage following radiotherapy is poorly understood. We hypothesized that mach...

Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem.

OBJECTIVE: Create an efficient decision-support model to assist medical experts in the process of organ allocation in liver transplantation. The mathe...

Scaling effects in spiral capsule robots.

Spiral capsule robots can be applied to human gastrointestinal tracts and blood vessels. Because of significant variations in the sizes of the inner d...