Latest AI and machine learning research in pulmonology for healthcare professionals.
The process of pneumonia detection has been the focus of researchers as it has proved itself to be o...
BACKGROUND: Deep learning models are increasingly informing medical decision making, for instance, i...
The spatial heterogeneity is an important indicator of the malignancy of lung nodules in lung cancer...
Pneumothorax is a potentially life-threatening condition that can be rapidly and accurately assessed...
BACKGROUND: Noninvasive ventilation (NIV) has been widely used in critically ill patients after extu...
PURPOSE: To investigate whether the iodine density of liver parenchyma in the equilibrium phase and ...
PURPOSE: To develop an automated lung tumor segmentation method for radiation therapy planning based...
The COVID-19 pandemic has caused a worldwide catastrophe and widespread devastation that reeled almo...
Neuromorphic computing provides a means for achieving faster and more energy efficient computations ...
MOTIVATION: Asthma is a complex heterogeneous disease resulting from intricate interactions between ...
In clinical routine, the diagnosis of cystic fibrosis (CF) is still challenging regardless of intern...
Pneumonia is a disease that spreads quickly and poses a serious risk to the health and well-being of...
Liver fibrosis is a common liver disease that seriously endangers human health. Liver biopsy is the ...
Pulmonary embolism (PE) is a blood clot traveling to the lungs and is associated with substantial mo...
BACKGROUND In this study we aimed to establish a new transfer learning model based on noncontrast an...
COVID-19 which was announced as a pandemic on 11 March 2020, is still infecting millions to date as ...
BACKGROUND: Pneumonia is an infection of the lungs that is characterized by high morbidity and morta...
We propose a deep learning system to automatically detect four explainable emphysema signs on fronta...
Serial Femtosecond Crystallography at the X-ray Free Electron Laser (XFEL) sources enabled the imagi...
Artificial intelligence (AI) algorithms evaluating [supine] chest radiographs ([S]CXRs) have remarka...
In this study, we propose a two-stage workflow used for the segmentation and scoring of lung disease...