Li, Lin <br/><br/>
Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy.  [electronic resource] 

 -  Radiology  08 2020 
 - E65-E71 p.  digital 
<br/><br/> Publication Type: Evaluation Study; Journal Article; Multicenter Study 
<br/><br/><label>ISSN: </label>1527-1315 
<br/><br/><label>Standard No.: </label>10.1148/radiol.2020200905  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Adult<br/>Aged<br/>Artificial Intelligence<br/>Betacoronavirus<br/>COVID-19<br/>COVID-19 Testing<br/>Clinical Laboratory Techniques--methods<br/>Community-Acquired Infections--diagnostic imaging<br/>Coronavirus Infections--diagnosis<br/>Deep Learning<br/>Diagnosis, Differential<br/>Female<br/>Humans<br/>Imaging, Three-Dimensional--methods<br/>Male<br/>Middle Aged<br/>Pandemics<br/>Pneumonia, Viral--diagnostic imaging<br/>ROC Curve<br/>Radiographic Image Interpretation, Computer-Assisted--methods<br/>Retrospective Studies<br/>SARS-CoV-2<br/>Sensitivity and Specificity<br/>Tomography, X-Ray Computed--methods