Latest AI and machine learning research in copd for healthcare professionals.
Impedance pneumography has been suggested as an ambulatory technique for the monitoring of respirato...
Accurate segmentation of the jaw (i.e., mandible and maxilla) and the teeth in cone beam computed to...
Previous studies have shown that functional mobility, along with other physical functions, decreases...
The current gold standard in cancer diagnosis-the microscopic examination of hematoxylin and eosin (...
Chronic obstructive pulmonary disease (COPD) is a global burden, which is estimated to be the third ...
PURPOSE: To develop and evaluate a deep learning (DL) approach to extract rich information from high...
The purpose of this study was to develop a fully-automated segmentation algorithm, robust to various...
BACKGROUND: Asthma exacerbations result in significant health and economic burden, but are difficult...
Large-scale data sources, remote sensing technologies, and superior computing power have tremendousl...
For patients with clinically localized renal masses, positive surgical margins (PSMs) after robotic...
BACKGROUND: Chronic obstructive pulmonary disease (COPD), the third leading cause of death worldwide...
Chronic obstructive pulmonary disease (COPD) is a common lung disease, and quantitative CT-based bro...
PURPOSE: The main objective of this study was to utilize an artificial neural network in an explorat...
RATIONALE: While American Thoracic Society (ATS)/European Respiratory Society (ERS) quality control ...
PURPOSE: To develop radiomics-based CT scores for assessing lung disease severity and exacerbation r...
The effective identification and quantitative determination of is a major public health concern. He...
Using standard digital cameras in combination with deep learning (DL) for pose estimation is promisi...
Several pathologies have a direct impact on society, causing public health problems. Pulmonary disea...
BACKGROUND: There is an emergence of mobile health (mHealth) interventions to support self-managemen...
Machine learning (ML)-based algorithms for cardiovascular disease (CVD) risk assessment have shown p...
Identification of prostate gold fiducial markers in magnetic resonance imaging (MRI) images is chall...