Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT
Harrison X. Bai, Robin Wang, Zeng Xiong, B. R. Hsieh, Ken Chang, Kasey Halsey, Thi My Linh Tran, Ji Whae Choi, Dongcui Wang, Linbo Shi, Mei Ji, Xiaolong Jiang, Ian Pan, Qiuhua Zeng, Ping-Feng Hu, Yihui Li, Feixian Fu, Raymond Y. Huang, Ronnie Sebro, Qizhi Yu, Michael K. Atalay, Weihua Liao
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
Topics & Concepts
MedicinePneumoniaReceiver operating characteristicConfidence intervalCoronavirus disease 2019 (COVID-19)RadiologyRetrospective cohort studyChest painInternal medicineDiseaseInfectious disease (medical specialty)COVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and Education