Pulmonology

Effect of Mast Cell Chymase on Activation, Proliferation and Transdifferentiation of Hepatic Stellate Cells.

BACKGROUND/AIMS: This work aims to observe the effects of mast cell (MC) chymase on activation, proliferation and transdifferentiation of hepatic stellate cells (HSCs) and to discuss the role of chymase in development of liver fibrosis.

Neural-network based autocontouring algorithm for intrafractional lung-tumor tracking using Linac-MR.

PURPOSE: To develop a neural-network based autocontouring algorithm for intrafractional lung-tumor tracking using Linac-MR and evaluate its performance with phantom and in-vivo MR images.

Comparison between target margins derived from 4DCT scans and real-time tumor motion tracking: insights from lung tumor patients treated with robotic radiosurgery.

PURPOSE: A unique capability of the CyberKnife system is dynamic target tracking. However, not all patients are eligible for this approach. Rather, th...

Post-operative bleeding risk stratification in cardiac pulmonary bypass patients using artificial neural network.

The prediction of bleeding risk in cardiopulmonary bypass (CPB) patients plays a vital role in their postoperative management. Therefore, an artificia...

An alternative respiratory sounds classification system utilizing artificial neural networks.

BACKGROUND: Computerized lung sound analysis involves recording lung sound via an electronic device, followed by computer analysis and classification ...

Architecture and biological applications of artificial neural networks: a tuberculosis perspective.

Advancement of science and technology has prompted researchers to develop new intelligent systems that can solve a variety of problems such as pattern...

Automatic Wheezing Detection Based on Signal Processing of Spectrogram and Back-Propagation Neural Network.

Wheezing is a common clinical symptom in patients with obstructive pulmonary diseases such as asthma. Automatic wheezing detection offers an objective...

Synthesizing analytic evidence to refine care pathways.

Care pathways play significant roles in delivering evidence-based and coordinated care to patients with specific conditions. In order to put care path...

Use of an Artificial Neural Network to Construct a Model of Predicting Deep Fungal Infection in Lung Cancer Patients.

BACKGROUND: The statistical methods to analyze and predict the related dangerous factors of deep fungal infection in lung cancer patients were several...

Multi-scale Convolutional Neural Networks for Lung Nodule Classification.

We investigate the problem of diagnostic lung nodule classification using thoracic Computed Tomography (CT) screening. Unlike traditional studies prim...

Artificial Neural Network Methods Applied to Drug Discovery for Neglected Diseases.

Among the chemometric tools used in rational drug design, we find artificial neural network methods (ANNs), a statistical learning algorithm similar t...

A Baseline Patient Model to Support Testing of Medical Cyber-Physical Systems.

Medical Cyber-Physical Systems (MCPS) are currently a trending topic of research. The main challenges are related to the integration and interoperabil...

Proposal of Local Automatic Weighing Attribute in CBIR.

Lung cancer is the most common malignant lesion and the principal cause of cancer-related death worldwide. This problem encourages researchers to buil...

Identification of Incidental Pulmonary Nodules in Free-text Radiology Reports: An Initial Investigation.

Advances in image quality produced by computed tomography (CT) and the growth in the number of image studies currently performed has made the manageme...

Follow-up Recommendation Detection on Radiology Reports with Incidental Pulmonary Nodules.

The management of follow-up recommendations is fundamental for the appropriate care of patients with incidental pulmonary findings. The lack of commun...

Extraction of Vital Signs from Clinical Notes.

Assessment of vital signs is an essential part of surveillance of critically ill patients to detect condition changes and clinical deterioration. Whil...

Sleep snoring detection using multi-layer neural networks.

Snoring detection is important for diagnosing obstructive sleep apnea syndrome (OSAS) and other respiratory sleep disorders. In general, audio signal ...

An improved fuzzy C-means clustering algorithm for assisted therapy of chronic bronchitis.

BACKGROUND: Bronchitis is considered a non-specific inflammation in the peripheral tissues of the trachea and bronchus. Many therapeutic schemes for c...

Etiology and pathology of epidemic outbreaks of avian influenza H5N1 infection in Egyptian chicken farms.

Epidemic outbreaks of avian influenza (AI) virus H5N1 have been frequently reported in Egypt during the last nine years. Here we investigate the invol...

[Asthma-COPD overlap syndrome].

Asthma and chronic obstructive pulmonary disease (COPD) are common lung diseases characterized by chronic airway inflammation and airway obstruction. ...