Abstract The COVID-19 pandemic has challenged institutions’ diagnostic processes worldwide. The aim of this study was to assess the feasibility of an artificial intelligence (AI)-based software tool that automatically evaluates chest computed tomography for findings of suspected COVID-19. Two groups were retrospectively evaluated for COVID-19-associated ground glass opacities of the lungs (group A: real-time polymerase chain reaction positive COVID patients, n = 108; group B: asymptomatic pre-operative group, n = 88). The performance of an AI-based software assessment tool for detection of COVID-associated abnormalities was compared with human evaluation based on COVID-19 reporting and data system (CO-RADS) scores performed by 3 readers. All evaluated variables of the AI-based assessment showed significant differences between the 2 groups ( P < .01). The inter-reader reliability of CO-RADS scoring was 0.87. The CO-RADS scores were substantially higher in group A (mean 4.28) than group B (mean 1.50). The difference between CO-RADS scoring and AI assessment was statistically significant for all variables but showed good correlation with the clinical context of the CO-RADS score. AI allowed to predict COVID positive cases with an accuracy of 0.94. The evaluated AI-based algorithm detects COVID-19-associated findings with high sensitivity and may support radiologic workflows during the pandemic.
【저자키워드】 COVID-19, Pneumonia, artificial intelligence, Computed tomography, Decision support, 【초록키워드】 pandemic, reliability, feasibility, COVID-19 pandemic, artificial intelligence, diagnostic, lung, COVID, Computed tomography, Chest computed tomography, polymerase chain reaction, sensitivity, Asymptomatic, Accuracy, real-time polymerase chain reaction, Lungs, Algorithm, correlation, group, predict, Chain Reaction, assessment tool, Support, Ground glass opacity, significant difference, two groups, significant differences, Covid patients, positive, abnormality, variable, polymerase chain, performed, radiologic, detect, evaluate, evaluated, statistically significant, automatically, 【제목키워드】 detection, Chest CT, applicability,