Abstract Background and Objective: Chest X-ray imaging is a relatively cheap and
accessible diagnostic tool that can assist in the diagnosis of various conditions, including …

Background Lumbar spine MRI studies are widely used for back pain assessment.
Interpretation involves grading lumbar spinal stenosis, which is repetitive and time …

Artificial intelligence (AI) applied to pediatric chest radiographs are yet scarce. This study
evaluated whether AI-based software developed for adult chest radiographs can be used for …

Artificial intelligence is gaining increasing relevance in the field of radiology. This study
retrospectively evaluates how a commercially available deep learning algorithm can detect …

While many deep-learning-based computer-aided detection systems (CAD) have been
developed and commercialized for abnormality detection in chest radiographs (CXR), their …

Artificial intelligence is gaining increasing relevance in the field of radiology. This study
retrospectively evaluates how a commercially available deep learning algorithm can detect …

Simple Summary Diagnosis of posterior fossa tumors is challenging yet proper classification
is imperative given that treatment decisions diverge based on tumor type. The aim of this …

Background: Non-contrast computed tomography of the brain (NCCTB) is commonly used in
clinical practice to detect intracranial pathology but is subject to interpretation errors …

Background: Diagnostic imaging is regarded as funda-mental in the clinical work-up of
patients with a suspected or confirmed COVID-19 infection. Recent progress has been made …