AI support for accurate and fast radiological diagnosis of COVID-19: an international multicenter, multivendor CT study

[1] Akl EA(2021)Use of chest imaging in the diagnosis and management of COVID-19: a WHO rapid advice guide Radiology 298 E63-E69

[2] Blažić I(2020)Sensitivity of chest CT for COVID-19: comparison to RT-PCR Radiology 296 E115-E117

[3] Yaacoub S(2020)Correlation of chest CT and RT-PCR testing for coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases Radiology 296 E32-E40

[4] Fang Y(2018)Artificial intelligence in radiology Nat Rev Cancer 18 500-510

[5] Zhang H(2020)Using artificial intelligence to detect COVID-19 and community-acquired pneumonia based on pulmonary CT: evaluation of the diagnostic accuracy Radiology 296 E65-E71

[6] Xie J(2020)Artificial intelligence augmentation of radiologist performance in distinguishing COVID-19 from pneumonia of other origin at chest CT Radiology 296 E156-E165

[7] Ai T(2020)Multicenter cohort study demonstrates more consolidation in upper lungs on initial CT increases the risk of adverse clinical outcome in COVID-19 patients Theranostics 10 5641-5648

[8] Yang Z(2020)A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images Eur Radiol 30 6517-6527

[9] Hou H(2020)Artificial intelligence-enabled rapid diagnosis of patients with COVID-19 Nat Med 26 1224-1228

[10] Hosny A(2020)Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets Nat Commun 11 4080-205

[1] Akl EA(2021)Use of chest imaging in the diagnosis and management of COVID-19: a WHO rapid advice guide Radiology 298 E63-E69

[2] Blažić I(2020)Sensitivity of chest CT for COVID-19: comparison to RT-PCR Radiology 296 E115-E117

[3] Yaacoub S(2020)Correlation of chest CT and RT-PCR testing for coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases Radiology 296 E32-E40

[4] Fang Y(2018)Artificial intelligence in radiology Nat Rev Cancer 18 500-510

[5] Zhang H(2020)Using artificial intelligence to detect COVID-19 and community-acquired pneumonia based on pulmonary CT: evaluation of the diagnostic accuracy Radiology 296 E65-E71

[6] Xie J(2020)Artificial intelligence augmentation of radiologist performance in distinguishing COVID-19 from pneumonia of other origin at chest CT Radiology 296 E156-E165

[7] Ai T(2020)Multicenter cohort study demonstrates more consolidation in upper lungs on initial CT increases the risk of adverse clinical outcome in COVID-19 patients Theranostics 10 5641-5648

[8] Yang Z(2020)A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images Eur Radiol 30 6517-6527

[9] Hou H(2020)Artificial intelligence-enabled rapid diagnosis of patients with COVID-19 Nat Med 26 1224-1228

[10] Hosny A(2020)Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets Nat Commun 11 4080-205