1. Department of Radiology, Xijing Hospital, Air Force Medical University, Xi’an Shaanxi 710032, China;
2. Deepwise, Beijing 100080, China; 3. inferVISON, Beijing 100025, China
Abstract：Coronavirus disease 2019 (COVID-19) has spread rapidly since its onset. At present, the diagnostic standard for
COVID-19 is the coronavirus etiologic results that has low positive detection rate and affects by many factors. With fast and high
positive detection rate, CT has been recommended as the main imaging method for the clinical diagnosis for COVID-19. However,
the patients waiting for COVID-19 screening is increasing and the designated hospital is limited, the work load and the risk infection
of radiologists are high. Furthermore, the objective quantitative evaluation standards are yet to be established. Thus, use of artificial
intelligence with professional lung analysis may effectively improve the image review efficiency, increase the detection rate, reduce
patient waiting time and standardize and optimize the diagnosis process, which is of great significance in early detection and accurate
diagnosis of COVID-19.
