Latest AI and machine learning research in pulmonology for healthcare professionals.
Ventilated patients are at risk of acquiring ventilator-associated pneumonia. Various techniques are...
BACKGROUND: The relationship between allergic sensitisation and asthma is complex; the data about th...
BACKGROUND AND OBJECTIVE: Wheezes in pulmonary sounds are anomalies which are often associated with ...
Deep two-dimensional (2-D) convolutional neural networks (CNNs) have been remarkably successful in p...
Lung cancer is still one of the most common causes of death around the world, while there is overwhe...
PURPOSE: Bronchoscopy is useful in lung cancer detection, but cannot be used to differentiate cancer...
The size and shape of a nodule are the essential indicators of malignancy in lung cancer diagnosis. ...
Purpose To examine Generative Visual Rationales (GVRs) as a tool for visualizing neural network lear...
BACKGROUND: In this study, a deep convolutional neural network (CNN)-based automatic segmentation te...
BACKGROUND: There is interest in using convolutional neural networks (CNNs) to analyze medical imagi...
Computed tomography (CT)-based screening on lung cancer mortality is poised to make lung nodule mana...
OBJECTIVES: We evaluated whether machine learning may be helpful for the detection of lung cancer in...
The effectiveness of a cardiovascular magnetic resonance (CMR) scan depends on the ability of the op...
AIM: To develop an algorithm, based on convolutional neural network (CNN), for the classification of...
OBJECTIVE: To assess changes in the distribution in pulmonary ventilation in anaesthetized ponies us...
Deformable image registration can be time consuming and often needs extensive parameterization to pe...
Tuberculosis (TB) has become one of the most significant public health problems in recent years. Ant...
The aim of this project was to identify candidate novel therapeutic targets to facilitate the treatm...
OBJECTIVES: Vitamin D deficiency may be associated with comorbidities and poor prognosis. However, t...
Lysine acetylation is one of the most important types of protein post-translational modifications (P...
We present the effectiveness of Raman spectroscopy (RS) in combination with machine learning for scr...