… An AI system was fine-tuned to discriminate confirmed COVID-19 pneumonia, from other
viral and bacterial pneumonia and non-pneumonia patients and used to review 302 CXR …

… The COVID-19 outbreak continues to … COVID-19 from community-acquired pneumonia
(CAP) on chest X-rays. Therefore, this study aims to develop and test an efficient and accurate …

… viral pneumonia … COVID-19 using chest CT, referred to as the COVID-19 detection
neural network (COVNet). Scans of community-acquired pneumonia (CAP) and other non-pneumonia …

… However, studies performed in 2016 and 2017 have shown only moderate discriminant
accuracy … be less accurate in patients requiring mechanical ventilation for COVID-19 pneumonia …

… collect samples for viral pneumonia that is less frequent in adults. In addition, it is much more
challenging to discriminate COVID-19 from typical viral pneumonia as COVID-19 is also a …

… Furthermore, the combined model was also superior to CO-RADS in discriminating
COVID-19 from other viral pneumonia with a sensitivity and specificity of 0.85 and 0.90. …

… The new coronavirus COVID-19 has been spreading all over the world in the last six months,
and the death toll is still rising. The accurate diagnosis of COVID-19 is an emergent task as …

… -stage DL framework for discriminating COVID-19 from community-acquired pneumonia (CAP) …
% of accuracy and 93.97% of DSC compared to utilizing one block that gives 94.37% of …

… that discriminate COVID-19 from other kinds of pneumonia. Also, … Therefore, a method that
can accurately detect COVID-19 … accuracy of above 82%; these factors can, in fact, separate …

… An infection size-aware random forest method (iSARF) was proposed for discriminating
COVID-19 … In conclusion, CT imaging demonstrates high accuracy through the machine learning …