Pulmonology

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

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Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs.

IMPORTANCE: Early detection of pneumothorax, most often via chest radiography, can help determine ne...

Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series.

Tree-based machine learning methods have gained traction in the statistical and data science fields....

Protocol for the operation of a breathing and vaping biomimetic robot to delineate real-time inhaled particle profile of electronic cigarettes.

We recently developed a robotic human vaping mimetic real-time particle analyzer (HUMITIPAA) to eval...

Novel approaches utilizing robotic navigational bronchoscopy: a single institution experience.

The effective biopsy of pulmonary nodules is crucial to early diagnosis and consequent effective tre...

Identification of glycolysis genes signature for predicting prognosis in malignant pleural mesothelioma by bioinformatics and machine learning.

BACKGROUND: Glycolysis-related genes as prognostic markers in malignant pleural mesothelioma (MPM) i...

Effect of da Vinci robot-assisted versus traditional thoracoscopic bronchial sleeve lobectomy.

OBJECTIVE: To analyze the short-term effect of Da Vinci robot-assisted thoracoscopic (RATS) bronchia...

A Proactive Attack Detection for Heating, Ventilation, and Air Conditioning (HVAC) System Using Explainable Extreme Gradient Boosting Model (XGBoost).

The advent of Industry 4.0 has revolutionized the life enormously. There is a growing trend towards ...

CNN and SVM-Based Models for the Detection of Heart Failure Using Electrocardiogram Signals.

Heart failure (HF) is a serious condition in which the heart fails to supply the body with enough ox...

Deep learning-based internal gross target volume definition in 4D CT images of lung cancer patients.

BACKGROUND: Contouring of internal gross target volume (iGTV) is an essential part of treatment plan...

Setting up of a machine learning algorithm for the identification of severe liver fibrosis profile in the general US population cohort.

BACKGROUND: The progress of digital transformation in clinical practice opens the door to transformi...

Unsupervised landmark detection and classification of lung infection using transporter neural networks.

Supervised deep learning techniques have been very popular in medical imaging for various tasks of c...

Development and validation of a mathematical model to simulate human cardiovascular and respiratory responses to battlefield trauma.

Mathematical models of human cardiovascular and respiratory systems provide a viable alternative to ...

Lung_PAYNet: a pyramidal attention based deep learning network for lung nodule segmentation.

Accurate and reliable lung nodule segmentation in computed tomography (CT) images is required for ea...

A systematic review: Chest radiography images (X-ray images) analysis and COVID-19 categorization diagnosis using artificial intelligence techniques.

COVID-19 pandemic created a turmoil across nations due to Severe Acute Respiratory Syndrome Corona v...

Deep Learning Models to Predict Fatal Pneumonia Using Chest X-Ray Images.

BACKGROUND AND AIMS: Chest X-ray (CXR) is indispensable to the assessment of severity, diagnosis, an...

Development and performance evaluation of a deep learning lung nodule detection system.

BACKGROUND: Lung cancer is the leading cause of cancer-related deaths throughout the world. Chest co...

Deep learning-based dynamic PET parametric K image generation from lung static PET.

OBJECTIVES: PET/CT is a first-line tool for the diagnosis of lung cancer. The accuracy of quantifica...

Assessment of idiopathic inflammatory myopathy using a deep learning method for muscle T2 mapping segmentation.

OBJECTIVE: To investigate the utility of an automatic deep learning (DL) method for segmentation of ...

Multi-Perspective Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification.

Lung cancer is the leading cancer type that causes mortality in both men and women. Computer-aided d...

Deep multiple instance learning for predicting chemotherapy response in non-small cell lung cancer using pretreatment CT images.

The individual prognosis of chemotherapy is quite different in non-small cell lung cancer (NSCLC). T...

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