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

Harrison X. Bai(Central South University), Robin Wang(Central South University), Zeng Xiong(Central South University), B. R. Hsieh(Central South University), Ken Chang(Central South University), Kasey Halsey(Central South University), Thi My Linh Tran(Central South University), Ji Whae Choi(Central South University), Dongcui Wang(Central South University), Linbo Shi(Central South University), Mei Ji(Central South University), Xiaolong Jiang(Central South University), Ian Pan(Central South University), Qiuhua Zeng(Central South University), Ping-Feng Hu(Central South University), Yihui Li(Central South University), Feixian Fu(Central South University), Raymond Y. Huang(Brigham and Women's Hospital), Ronnie Sebro(Central South University), Qizhi Yu(Central South University), Michael K. Atalay(Central South University), Weihua Liao(Central South University)
Radiology
April 27, 2020
10.1148/radiol.2020201491
Cited by 400Open Access
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Abstract

= .001). Conclusion Artificial intelligence assistance improved radiologists' performance in distinguishing coronavirus disease 2019 pneumonia from non-coronavirus disease 2019 pneumonia at chest CT. © RSNA, 2020

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