Objective To develop prognostic models for survival (alive or deceased status) prediction of
COVID-19 patients using clinical data (demographics and history, laboratory tests, visual …

Covid-19 has become a deadly pandemic claiming more than three million lives worldwide.
SARS-CoV-2 causes distinct pathomorphological alterations in the respiratory system …

Purpose Chest computed tomography (CT) is a high-sensitivity diagnostic tool for depicting
interstitial pneumonia and may lay a critical role in the evaluation of the severity and extent …

Rationale and Objectives Several prognostic factors have been identified for COVID-19
disease. Our aim was to elucidate the influence of non-pulmonary findings of thoracic …

The recognition of Covid-19 infection and distinguishing it from other Lung diseases from CT-
scan is an emerging field in machine learning and computer vision community. In this paper …

Background The novel coronavirus disease 2019 (COVID-19) continues to wreak havoc
worldwide. This study assessed the ability of chest computed tomography (CT) severity …

In the epidemiological COVID-19 research, artificial intelligence is a unique approach to
make predictions about disease severity to manage COVID-19 patients. A limitation of …

Objective This study aimed to evaluate whether there was a significant relationship between
anemia and the risk for mortality among coronavirus disease 2019 (COVID-19) patients by a …

Background: Lung ultrasound (LUS) is a useful imaging method for identifying COVID-19
pneumonia. The aim of this study was to explore the role of LUS in predicting the severity of …

Imaging plays an important role in the detection of coronavirus (COVID-19) pneumonia in
both managing the disease and evaluating the complications. Imaging with chest computed …