Pulmonology

Latest AI and machine learning research in pulmonology for healthcare professionals.

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Pulmonary Nodule Recognition Based on Multiple Kernel Learning Support Vector Machine-PSO.

Pulmonary nodule recognition is the core module of lung CAD. The Support Vector Machine (SVM) algori...

Small lung nodules detection based on local variance analysis and probabilistic neural network.

BACKGROUND AND OBJECTIVE: In medical examinations doctors use various techniques in order to provide...

Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence.

Human lungs are susceptible to the toxicity induced by soluble xenobiotics. However, the direct cell...

Antifibrotic effects of gallic acid on hepatic stellate cells: mechanistic study.

Few studies reported the antifibrotic effects of gallic acid (GA) despite its known hepatoprotective...

Replicating human expertise of mechanical ventilation waveform analysis in detecting patient-ventilator cycling asynchrony using machine learning.

BACKGROUND: - Acute respiratory failure is one of the most common problems encountered in intensive ...

Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization.

We aimed to evaluate a computer-aided diagnosis (CADx) system for lung nodule classification focussi...

Creating Clinical Fuzzy Automata with Fuzzy Arden Syntax.

Formal constructs for fuzzy sets and fuzzy logic are incorporated into Arden Syntax version 2.9 (Fuz...

Antiproliferative and anti-apoptotic effect of astaxanthin in an oxygen-induced retinopathy mouse model.

OBJECTIVE: To evaluate the impact of intravitreal (IV) and intraperitoneal (IP) astaxanthin (AST) in...

Using artificial intelligence to predict prolonged mechanical ventilation and tracheostomy placement.

BACKGROUND: Early identification of critically ill patients who will require prolonged mechanical ve...

Evaluation of Machine-Learning Approaches to Estimate Sleep Apnea Severity From At-Home Oximetry Recordings.

Complexity, costs, and waiting list issues demand a simplified alternative for sleep apnea-hypopnea ...

Functional-guided radiotherapy using knowledge-based planning.

BACKGROUND AND PURPOSE: There are two significant challenges when implementing functional-guided rad...

Effective Pneumothorax Detection for Chest X-Ray Images Using Local Binary Pattern and Support Vector Machine.

Automatic image segmentation and feature analysis can assist doctors in the treatment and diagnosis ...

Novel computer algorithm for cough monitoring based on octonions.

The objective assessment of cough frequency is essential for evaluation of cough and antitussive the...

Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks.

Early and accurate diagnosis of interstitial lung diseases (ILDs) is crucial for making treatment de...

A deep 3D residual CNN for false-positive reduction in pulmonary nodule detection.

PURPOSE: The automatic detection of pulmonary nodules using CT scans improves the efficiency of lung...

A novel feature extraction technique for pulmonary sound analysis based on EMD.

BACKGROUND AND OBJECTIVE: The stethoscope based auscultation technique is a primary diagnostic tool ...

Prediction of influenza-like illness based on the improved artificial tree algorithm and artificial neural network.

Because influenza is a contagious respiratory illness that seriously threatens public health, accura...

Predicting heat stress index in Sasso hens using automatic linear modeling and artificial neural network.

There is an increasing use of robust analytical algorithms in the prediction of heat stress. The pre...

Multichannel lung sound analysis for asthma detection.

BACKGROUND AND OBJECTIVE: Lung sound signals convey valuable information of the lung status. Auscult...

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