Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia
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Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share
similar CT characteristics, which contributes to the challenges in differentiating them with …

Background Chest x-ray is a relatively accessible, inexpensive, fast imaging modality that
might be valuable in the prognostication of patients with COVID-19. We aimed to develop and …

The environmental impact of magnetic resonance imaging (MRI) has recently come into
focus. This includes its enormous demand for electricity compared to other imaging modalities …

Cardiac MRI studies often show susceptibility artifacts along the inferoapical myocardial margin
in both human and in vivo animal experiments at field strengths of 1.5T and greater. This …

Objectives Early recognition of coronavirus disease 2019 (COVID-19) severity can guide
patient management. However, it is challenging to predict when COVID-19 patients will …

Objective To examine whether incorrect AI results impact radiologist performance, and if so,
whether human factors can be optimized to reduce error. Methods Multi-reader design, 6 …

Background Messenger RNA (mRNA) coronavirus disease of 2019 (COVID-19) vaccine are
known to cause minor side effects at the injection site and mild global systemic symptoms in …

Objectives We aimed to develop deep learning models using longitudinal chest X-rays (CXRs)
and clinical data to predict in-hospital mortality of COVID-19 patients in the intensive care …

While COVID-19 diagnosis and prognosis artificial intelligence models exist, very few can
be implemented for practical use given their high risk of bias. We aimed to develop a …