Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections.

Journal: Journal of X-ray science and technology

Published Date: Jan 1, 2021

BACKGROUND: Accurate and rapid diagnosis of coronavirus disease (COVID-19) is crucial for timely quarantine and treatment.

Yanhong Yang

Department of Radiology, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Fleming Y M Lure

Shenzhen Zhiying Medical Imaging, Shenzhen, Guangdong, China.
Hengyuan Miao

Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China.
Ziqi Zhang

Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
Stefan Jaeger

Lister Hill National Center for Biomedical Communications, National Library of Medicine, Bethesda, Maryland, United States.
Jinxin Liu

Paul G. Allen School for Global Animal Health, Washington State University, Pullman, WA, United States.
Lin Guo

Shenzhen Zhiying Medical Imaging, Shenzhen, Guangdong, China.

Adult Aged Algorithms Artificial Intelligence Clinical Competence COVID-19 Deep Learning Diagnosis, Differential Female Humans Lung Male Middle Aged Radiologists Respiratory Tract Infections SARS-CoV-2 Sensitivity and Specificity Tomography, X-Ray Computed Young Adult

View on PubMed Access via DOI PubMed (33164982)