Latest AI and machine learning research in pulmonology for healthcare professionals.
Currently available risk prediction methods are limited in their ability to deal with complex, heter...
BACKGROUND: In the appropriate clinical setting, the diagnosis of idiopathic pulmonary fibrosis (IPF...
This study focuses on identifying environmental health risk factors related to acute respiratory dis...
Lung auscultation is an important part of a physical examination. However, its biggest drawback is i...
BACKGROUND: Chronic respiratory symptoms involving bronchitis, cough and phlegm in children are unde...
Convolutional Neural Networks (CNNs) require a large amount of annotated data to learn from, which i...
Chronic obstructive pulmonary disease (COPD) yields a high rate of failures such as hospital readmis...
Epidermal growth factor receptor (EGFR) genotyping is critical for treatment guidelines such as the ...
BACKGROUND: Existing prediction models for acute respiratory distress syndrome (ARDS) require manual...
This study proposes a convolutional neural network model trained from scratch to classify and detect...
OBJECTIVES: To retrospectively evaluate the diagnostic performance of a convolutional neural network...
Sleep is a prominent physiological activity in our daily life. Sleep apnea is the category of sleep ...
Deep learning techniques have been extensively used in computerized pulmonary nodule analysis in rec...
BACKGROUND: Lung adenocarcinoma is the most common type of lung cancers. Whole-genome sequencing stu...
PURPOSE: To identify the role of radiomics texture features both within and outside the nodule in pr...
As one of the most common malignancies in the world, lung adenocarcinoma (LUAD) is currently difficu...
First and second ventilatory thresholds (VT and VT) represent the boundaries of the moderate-heavy a...
Lung cancer is a global and dangerous disease, and its early detection is crucial for reducing the r...
INTRODUCTION: Functional image-guided radiotherapy (RT) planning for normal lung avoidance has recen...
UNLABELLED: Computational Intelligence Re-meets Medical Image Processing A Comparison of Some Nature...
Patient classification has widespread biomedical and clinical applications, including diagnosis, pro...