Objectives To evaluate the performance of an AI-powered algorithm for the automatic detection
of pulmonary embolism (PE) on chest computed tomography pulmonary angiograms (…

A dysregulated immune response with hyperinflammation is observed in patients with severe
coronavirus disease 2019 (COVID-19). The aim of the present study was to assess the …

Objective To assess the diagnostic performance of a deep learning-based algorithm for
automated detection of acute and chronic rib fractures on whole-body trauma CT. Materials and …

Lung function tests are commonly used to monitor lung disease in cystic fibrosis (CF). While
practical, they cannot locate the exact origin of functional impairment. Contemporary …

Not pulmonary factors, but physical deconditioning is the main limiting factor of exercise
capacity in patients after severe COVID-19 pneumonitis. This underscores the importance of …

… Author links open overlay panel Gregor Sommer a b c , Jan Tremper a b 1 , Marcel
Koenigkam-Santos b d e 2 , Stefan Delorme a b 3 , Nikolaus Becker f 4 , Jürgen Biederer b g 5 , …

Objective To investigate the diagnostic value of whole-body magnetic resonance imaging (MRI)
including diffusion-weighted imaging with background signal suppression (DWIBS) for …

Purpose The purpose of this retrospective study was to correlate CT patterns of fatal cases
of coronavirus disease 2019 (COVID-19) with postmortem pathology observations. Materials …

Accurate segmentations in medical images are the foundations for various clinical applications.
Advances in machine learning-based techniques show great potential for automatic …

Historically, giant cell arteritis (GCA) was considered to be synonymous with temporal arteritis.
However, the disease spectrum of GCA extends much further, and includes vasculitis of …