Journal of computer assisted tomography
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J Comput Assist Tomogr · Mar 2021
ReviewCross-sectional Imaging Manifestations of Extrapulmonary Involvement in COVID-19 Disease.
Coronavirus disease 2019 (COVID-19) disease has spread worldwide since it was first discovered in China's Hubei province in December 2019. Respiratory illness is the primary manifestation of COVID-19 disease, and its pathophysiology as well as the clinical and cross-sectional imaging manifestations has been adequately reported. ⋯ There is still limited understanding with regard to the extrapulmonary involvement in this disease. This review aims to put together the prevalence, proposed pathophysiology, and the spectrum of clinical and cross-sectional imaging manifestations of associated extrapulmonary findings in COVID-19 disease.
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J Comput Assist Tomogr · Mar 2021
Use of a Dual Artificial Intelligence Platform to Detect Unreported Lung Nodules.
To investigate the performance of Dual-AI Deep Learning Platform in detecting unreported pulmonary nodules that are 6 mm or greater, comprising computer-vision (CV) algorithm to detect pulmonary nodules, with positive results filtered by natural language processing (NLP) analysis of the dictated report. ⋯ Dual-AI platform detected actionable unreported nodules in 2.8% of chest CT scans, yet minimized intrusion to radiologist's workflow by avoiding alerts for most already-reported nodules.