Pulmonology

Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans.

Coronavirus Disease 2019 (COVID-19) is a deadly infection that affects the respiratory organs in hum...

Re: Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital.

Is artificial intelligence ready to solve mechanical ventilation? Computer says blow.

Artificial intelligence (AI) has the potential to identify treatable phenotypes, optimise ventilatio...

Native BK virus nephropathy in lung transplant: a case report and literature review.

Classically described in renal allografts, BK virus nephropathy is increasingly recognized in native...

Artificial intelligence in functional imaging of the lung.

Artificial intelligence (AI) is transforming the way we perform advanced imaging. From high-resoluti...

Site-Specific Regulated Memristors via Electron-Beam-Induced Functionalization of HfO.

Emerging nonvolatile resistive switching, also known as the memristor, works with a distinct concept...

Diagnostic Approach for Accurate Diagnosis of COVID-19 Employing Deep Learning and Transfer Learning Techniques through Chest X-ray Images Clinical Data in E-Healthcare.

COVID-19 is a transferable disease that is also a leading cause of death for a large number of peopl...

Deep learning for anatomical interpretation of video bronchoscopy images.

Anesthesiologists commonly use video bronchoscopy to facilitate intubation or confirm the location o...

Predictive models for personalized asthma attacks based on patient's biosignals and environmental factors: a systematic review.

BACKGROUND: Asthma is a chronic disease that exacerbates due to various risk factors, including the ...

Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images.

A novel coronavirus (COVID-19) recently emerged as an acute respiratory syndrome, and has caused a p...

Identifying Microbe-Disease Association Based on a Novel Back-Propagation Neural Network Model.

Over the years, numerous evidences have demonstrated that microbes living in the human body are clos...

Prospective machine learning CT quantitative evaluation of idiopathic pulmonary fibrosis in patients undergoing anti-fibrotic treatment using low- and ultra-low-dose CT.

AIM: To compare the machine learning computed tomography (CT) quantification tool, Computer-Aided Lu...

Deep multi-instance transfer learning for pneumothorax classification in chest X-ray images.

PURPOSE: Pneumothorax is a life-threatening emergency that requires immediate treatment. Frontal-vie...

Hybrid Random Forest and Support Vector Machine Modeling for HVAC Fault Detection and Diagnosis.

The malfunctioning of the heating, ventilating, and air conditioning (HVAC) system is considered to ...

Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography.

OBJECTIVES: To evaluate the ability of a commercially available comprehensive chest radiography deep...

Deep semi-supervised learning for automatic segmentation of inferior alveolar nerve using a convolutional neural network.

BACKGROUND: The inferior alveolar nerve (IAN) innervates and regulates the sensation of the mandibul...

Deep learning computer-aided detection system for pneumonia in febrile neutropenia patients: a diagnostic cohort study.

BACKGROUND: Diagnosis of pneumonia is critical in managing patients with febrile neutropenia (FN), h...

Improving robustness of a deep learning-based lung-nodule classification model of CT images with respect to image noise.

. Robustness is an important aspect to consider, when developing methods for medical image analysis....

Development of a Novel Anesthesia Airway Management Robot.

Non-invasive positive pressure ventilation has attracted increasing attention for air management in ...

An ensemble learning method based on ordinal regression for COVID-19 diagnosis from chest CT.

Coronavirus disease 2019 (COVID-19) has brought huge losses to the world, and it remains a great thr...

Implementation and Practice of Deep Learning-Based Instance Segmentation Algorithm for Quantification of Hepatic Fibrosis at Whole Slide Level in Sprague-Dawley Rats.

Exponential development in artificial intelligence or deep learning technology has resulted in more ...