Gastroenterology

Effect of the in vitro gastrointestinal digestion on free-phenolic compounds and mono/oligosaccharides from Moringa oleifera leaves: Bioaccessibility, intestinal permeability and antioxidant capacity.

Moringa oleifera is a plant recognized for its compounds such as dietary fiber (oligosaccharides, am...

Estimation of Neonatal Intestinal Perforation Associated with Necrotizing Enterocolitis by Machine Learning Reveals New Key Factors.

Intestinal perforation (IP) associated with necrotizing enterocolitis (NEC) is one of the leading ca...

Learning Curve in Robot-Assisted Laparoscopic Liver Resection.

BACKGROUND: The objective of this study was to evaluate the learning curve effect on the safety and ...

Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images.

Histopathological examination is today's gold standard for cancer diagnosis. However, this task is t...

An Improved Fuzzy Connectedness Method for Automatic Three-Dimensional Liver Vessel Segmentation in CT Images.

In this paper, an improved fuzzy connectedness (FC) method was proposed for automatic three-dimensio...

A novel MRI segmentation method using CNN-based correction network for MRI-guided adaptive radiotherapy.

PURPOSE: The purpose of this study was to expedite the contouring process for MRI-guided adaptive ra...

High Prevalent Hypovitaminosis D Is Associated with Dysregulation of Calcium-parathyroid Hormone-vitamin D Axis in Patients with Chronic Liver Diseases.

Although hypovitaminosis D is common among patients with chronic liver disease (CLD), the data are ...

Orthotopic Liver Transplantation After Stereotactic Body Radiotherapy for Pediatric Hepatocellular Carcinoma with Central Biliary Obstruction and Nodal Involvement.

Here we describe the case of a 10-year-old boy with a history of chronic hepatitis B who was diagnos...

Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on a deep convolutional neural network.

BACKGROUND AND AIMS: Although erosions and ulcerations are the most common small-bowel abnormalities...

Novel computer-assisted diagnosis system for endoscopic disease activity in patients with ulcerative colitis.

BACKGROUND AND AIMS: Evaluation of endoscopic disease activity for patients with ulcerative colitis ...

Machine learning for intraoperative prediction of viability in ischemic small intestine.

OBJECTIVE: Evaluation of intestinal viability is essential in surgical decision-making in patients w...

A multi-strain probiotic administered via drinking water enhances feed conversion efficiency and meat quality traits in indigenous chickens.

Whereas the use of probiotics is commonplace in commercial production of improved chicken strains, l...

Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing.

Automatic liver tumor segmentation would have a big impact on liver therapy planning procedures and ...

The Impact of Esophageal Compression on Goiter Symptoms before and after Thyroid Surgery.

INTRODUCTION: Benign nodular goiter may be associated with swallowing difficulties, but insight into...

[Hepatitis B and renal failure: prevalence and associated factors in National University Hospital Center of Cotonou].

INTRODUCTION: the association between the kidneys and hepatitis B is complex. This study aims to det...

Prediction of clinically relevant drug-induced liver injury from structure using machine learning.

Drug-induced liver injury (DILI) is the most common cause of acute liver failure and often responsib...

Human-machine collaboration: bringing artificial intelligence into colonoscopy.

In vitro intestinal epithelium responses to titanium dioxide nanoparticles.

Titanium dioxide (TiO) is enclosed in many consumer products including pharmaceuticals, cosmetics, a...

Outcome of kidney function in adults on long-term home parenteral nutrition for chronic intestinal failure.

OBJECTIVE: The aim of this study was to evaluate kidney function outcome in adults on home parentera...

The hepatotoxic potential of protein kinase inhibitors predicted with Random Forest and Artificial Neural Networks.

Protein kinases (PKs) play a role in many pivotal aspects of cellular function. Dysregulation and mu...

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma.

Intra-arterial therapies are the standard of care for patients with hepatocellular carcinoma who can...