Opportunistic CT screening leverages robust imaging data embedded within abdominal and
thoracic scans that are generally unrelated to the specific clinical indication and have …

Abdominal CT is a frequently performed imaging examination for a wide variety of clinical
indications. In addition to the immediate reason for scanning, each CT examination contains …

Sarcopenia has been established as a predictor of poor outcomes in various clinical
settings. It is particularly prevalent in heart failure, a clinical syndrome that poses significant …

Purpose To develop, test, and validate a deep learning (DL) tool that improves upon a
previous feature-based CT image processing bone mineral density (BMD) algorithm and …

Background CT-based body composition measures derived from fully automated artificial
intelligence tools are promising for opportunistic screening. However, body composition …

Please see the Editorial Comment by James S. Jelinek discussing this article. CT-based
body composition measures are well established in research settings as prognostic markers …

BACKGROUND. Sarcopenia is associated with adverse clinical outcomes. CT-based
skeletal muscle measurements for sarcopenia assessment are most commonly performed at …

Artificial intelligence and deep learning (DL) offer musculoskeletal radiology exciting
possibilities in multiple areas, including image reconstruction and transformation, tissue …

Background Obesity and loss of muscle mass are emerging as risk factors for dementia, but
the role of adiposity infiltrating skeletal muscles is less clear. Skeletal muscle adiposity …

The aim of this study is to evaluate the prognostic value of the vertebral bone mineral density
(BMD) on chest computed tomography (CT) in COVID-19 patients. The chest CT of …