Gastroenterology

[Study of Skip Metastasis to Lateral Lymph Nodes in Low Rectal Cancer].

We reviewed the clinical records of 302 patients with low rectal carcinoma to evaluate the effectiveness of lateral lymph node(LLN)dissection in cases of skip metastases to the LLN. Patients were divided into 4 groups according to nodal status: group N(133 cases), no metastasis in both the mesorectum lymph node(MLN)and LLN; groupM(100 cases), metastasis in the MLN and no LLN metastasis; group L(15...

Toxic activity of Prunus spinosa L. flower extract in hepatocarcinoma cells.

Prunus spinosa L. (blackthorn) is used in traditional medicine as a remedy for various diseases. To establish its anticancer properties, we exposed human liver cancer cells (Hep G2) to a range of blackthorn flower extract concentrations (10-200 µg/mL) and determined cytotoxic activity with the neutral red and kenacid blue methods after 24, 48, and 72 h of incubation. Statistically significant inhi...

Application of preoperative artificial neural network based on blood biomarkers and clinicopathological parameters for predicting long-term survival of patients with gastric cancer.

BACKGROUND: Because of the powerful abilities of self-learning and handling complex biological information, artificial neural network (ANN) models hav...

Relevant Features in Nonalcoholic Steatohepatitis Determined Using Machine Learning for Feature Selection.

We investigated the prevalence and the most relevant features of nonalcoholic steatohepatitis (NASH), a stage of nonalcoholic fatty liver disease, (N...

An FP's guide to AI-enabled clinical decision support.

To better understand the capabilities and challenges of artificial intelligence and machine learning, we look at the role they can play in screening f...

[Application value of Revolution CT combining three-dimensional visualization technique in precision resection of hepatic alveolar echinococcosis].

OBJECTIVE: To explore the application value of Revolution CT combining three -dimensional visualization technique in the precision resection of hepati...

Robotic Combined Anterior & Posterior Repair of a Rectal Prolapse, Rectocele, and Sigmoidocele with a Mesh.

Rectal prolapse (RP) is often seen in patients over the age of fifty, particularly women. These patients frequently suffer from other concomitant path...

Machine Learning-Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer.

INTRODUCTION: Adverse histopathological status (AHS) decreases outcomes of gastric cancer (GC). With the lack of a single factor with great reliabilit...

Deep learning classification for improved bicoherence feature based on cyclic modulation and cross-correlation.

This paper aims to present an improved bicoherence spectrum (IBS) combined with cyclic modulation spectrum (CMS) and cross-correlation that is suitabl...

Objective Assessment of the Utility of Chromoendoscopy with a Support Vector Machine.

PURPOSE: The utility of chromoendoscopy for early gastric cancer (GC) was determined by machine learning using data of color differences.

Effects of In Ovo Vitamin D Injection on Subsequent Growth of Broilers.

This study was conducted to investigate the influence of vitamin D (Vit D) administration on growth of broiler chickens when Vit D was dissolved in s...

Endoscopic Submucosal Dissection Using Endoscopic Robot: Endoscopist's Future Destination.

Ontologic Model of Diagnostics and Treatment of Gastrointestinal Bleedings of Unknown Origin.

The article presents the semantic model of diagnostics and treatment of patients with gastrointestinal bleedings when the reasons of bleeding cannot b...

Comment on "What Expert Surgeons Never Tell You About Robot-assisted Surgery for Rectal Cancer?".

Deep Learning Based Dosimetry Evaluation at Organs-at-Risk in Esophageal Radiation Treatment Planning.

Rapid esophageal radiation treatment planning is often obstructed by manually adjusting optimization parameters. The adjustment process is commonly gu...

Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using A Multi-channel & Multi-scale CNN.

There are multiple types of tumors occurring in the liver, each of which have a different visual appearance that changes after injection of the contra...

Machine learning for computer-aided polyp detection using wavelets and content-based image.

The continuous growing of machine learning techniques, their capabilities improvements and the availability of data being continuously collected, reco...

Real-Time Detection of Ureteral Orifice in Urinary Endoscopy Videos Based on Deep Learning.

In urology endoscopic procedures, the Ureteral Orifice (UO) finding is crucial but may be challenging for inexperienced doctors. Generally, it is diff...

Predicting Gastrointestinal Bleeding Events from Multimodal In-Hospital Electronic Health Records Using Deep Fusion Networks.

Applying machine learning (ML) methods on electronic health records (EHRs) that accurately predict the occurrence of a variety of diseases or complica...

Endoscopic Image Clustering with Temporal Ordering Information Based on Dynamic Programming.

In this paper, we propose a clustering method with temporal ordering information for endoscopic image sequences. It is difficult to collect a sufficie...