The advancement of artificial intelligence (AI) capabilities has paved the way for a new
frontier in medicine, which has the capability to reduce the burden of COPD globally. AI may …

Background CT is used to quantify abnormal changes in the lung parenchyma of smokers
that might overlap chronic obstructive pulmonary disease (COPD), but studies on the …

In many low-income countries, the poor availability of lung biopsy leads to delayed
diagnosis of lung cancer (LC), which can appear radiologically similar to tuberculosis (TB) …

Background CT-derived bronchial parameters have been linked to chronic obstructive
pulmonary disease and asthma severity, but little is known about these parameters in …

Objectives: The objective of this study was to evaluate an artificial intelligence (AI)-based
prototype algorithm for the fully automated per lobe segmentation and emphysema …

Purpose Recent pulmonary imaging research has revealed that in patients with chronic
obstructive pulmonary disease (COPD) and asthma, structural and functional abnormalities …

Quantitative analysis of thin-section CT of the chest has a growing role in the clinical
evaluation and management of diffuse lung diseases. This heterogeneous group includes …

OBJECTIVE. The purpose of this study is to establish whether texture analysis and
densitometry are complementary quantitative measures of chronic obstructive pulmonary …

Background Radiomics is a method within medical image analysis that involves the
extraction of quantitative data from radiologic scans, often in conjunction with machine …

Purpose To develop a radiomics prediction model to improve pulmonary nodule (PN)
classification in low‐dose CT. To compare the model with the American College of …