Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT

Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share similar CT characteristics, which contributes to the challenges in differentiating them with high accuracy. Purpose To establish and evaluate an artificial intelligence (AI) system for differentiating COVID-19 and o...

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Veröffentlicht in:	Radiology 2020-09, Vol.296 (3), p.E156-E165
Hauptverfasser:	Bai, Harrison X, Wang, Robin, Xiong, Zeng, Hsieh, Ben, Chang, Ken, Halsey, Kasey, Tran, Thi My Linh, Choi, Ji Whae, Wang, Dong-Cui, Shi, Lin-Bo, Mei, Ji, Jiang, Xiao-Long, Pan, Ian, Zeng, Qiu-Hua, Hu, Ping-Feng, Li, Yi-Hui, Fu, Fei-Xian, Huang, Raymond Y, Sebro, Ronnie, Yu, Qi-Zhi, Atalay, Michael K, Liao, Wei-Hua
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Adult Aged Aged, 80 and over Artificial Intelligence Betacoronavirus Child Child, Preschool China Coronavirus Infections - diagnostic imaging COVID-19 Diagnosis, Differential Female Humans Infant Infant, Newborn Lung - diagnostic imaging Male Middle Aged Pandemics Philadelphia Pneumonia - diagnostic imaging Pneumonia, Viral - diagnostic imaging Radiography, Thoracic Radiologists - standards Radiologists - statistics & numerical data Retrospective Studies Rhode Island SARS-CoV-2 Sensitivity and Specificity Tomography, X-Ray Computed - methods Young Adult
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