“Lung perfusion” in the context of imaging conventionally refers to the delivery of blood to the
pulmonary capillary bed through the pulmonary arteries originating from the right ventricle …

The constantly increasing number of computed tomography (CT) examinations poses major
challenges for radiologists. In this article, the additional benefits and potential of an artificial …

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 …

OBJECTIVE. The purpose of this study was to evaluate an artificial intelligence (AI)-based
prototype algorithm for fully automated quantification of emphysema on chest CT compared …

Objectives To evaluate the prognostic value of fully automatic lung quantification based on
spectral computed tomography (CT) and laboratory parameters for combined outcome …

Background Chronic obstructive pulmonary disease (COPD) is a complex and irreversible
respiratory disease with potential morphological abnormalities of the airway and lung fields …

Purpose To evaluate the capability ML-based CT texture analysis for improving
interobserver agreement and accuracy of radiological finding assessment in patients with …

Chronic obstructive pulmonary disease (COPD) is a common disease with high morbidity
and mortality, where early detection benefits the population. However, the early diagnosis …

Pulmonary Fibrosis (PF) is an immedicable respiratory condition distinguished by
permanent fibrotic alterations in the pulmonary tissue for which there is no cure. Hence, it is …

Automated image analysis plays an increasing role in radiology in detecting and quantifying
image features outside of the perception of human eyes. Common AI-based approaches …