Latest AI and machine learning research in pulmonology for healthcare professionals.
Diagnosing pulmonary embolism (PE) and excluding disorders that may clinically and radiologically si...
Although production of microalgae in open ponds is conventionally practiced due to its economy, expo...
IMPORTANCE: Pulmonary embolism (PE) is a life-threatening clinical problem, and computed tomographic...
Accurate assessment of pulmonary emphysema is crucial to assess disease severity and subtype, to mon...
BACKGROUND: Non-contact heart rate (HR) and respiratory rate (RR) monitoring is necessary for preter...
To identify prodromal correlates of asthma as compared to chronic obstructive pulmonary disease and...
New robotic systems have recently emerged to assist with peripheral lung access, but a robotic syste...
The diagnostic performance of an artificial neural network model for chronic HBV-induced liver fibro...
In the last decade, exponential growth of Internet of Things (IoT) and cloud computing takes the hea...
PURPOSE: To fast and accurately reconstruct human lung gas MRI from highly undersampled k-space usin...
PURPOSE: Reducing dose level to achieve ALARA is an important task in diagnostic and therapeutic app...
BACKGROUND: Detection of pulmonary nodules is an important aspect of an automatic detection system. ...
Classification of benign-malignant lung nodules on chest CT is the most critical step in the early d...
Electro-oxidation is an effective approach for the removal of 2-chlorophenol from wastewater. The mo...
Convolutional neural networks have been shown to demonstrate high diagnostic performance in radiolog...
PURPOSE: Current manual catheters for transbronchial biopsy in the lung lack a steering ability, whi...
INTRODUCTION: Asthma is a long-term condition with rapid onset worsening of symptoms ('attacks') whi...
PURPOSE: To apply an artificial neural network (ANN) for fast and robust quantification of the oxyge...
Lung densitometry is being frequently adopted in CT-based emphysema quantification, yet known to be ...
This study aims at developing SuperOrder, an order recommendation system for outpatient clinics. Usi...
OBJECTIVE: This study aimed to evaluate the penetration of moxifloxacin and doripenem into the pleur...