Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
About this item
Full title
Author / Creator
Mei, Xueyan , Lee, Hao-Chih , Diao, Kai-yue , Huang, Mingqian , Lin, Bin , Liu, Chenyu , Xie, Zongyu , Ma, Yixuan , Robson, Philip M. , Chung, Michael , Bernheim, Adam , Mani, Venkatesh , Calcagno, Claudia , Li, Kunwei , Li, Shaolin , Shan, Hong , Lv, Jian , Zhao, Tongtong , Xia, Junli , Long, Qihua , Steinberger, Sharon , Jacobi, Adam , Deyer, Timothy , Luksza, Marta , Liu, Fang , Little, Brent P. , Fayad, Zahi A. and Yang, Yang
Publisher
New York: Nature Publishing Group US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Nature Publishing Group US
Subjects
More information
Scope and Contents
Contents
For diagnosis of coronavirus disease 2019 (COVID-19), a SARS-CoV-2 virus-specific reverse transcriptase polymerase chain reaction (RT–PCR) test is routinely used. However, this test can take up to 2 d to complete, serial testing may be required to rule out the possibility of false negative results and there is currently a shortage of RT–PCR test ki...
Alternative Titles
Full title
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
Authors, Artists and Contributors
Author / Creator
Lee, Hao-Chih
Diao, Kai-yue
Huang, Mingqian
Lin, Bin
Liu, Chenyu
Xie, Zongyu
Ma, Yixuan
Robson, Philip M.
Chung, Michael
Bernheim, Adam
Mani, Venkatesh
Calcagno, Claudia
Li, Kunwei
Li, Shaolin
Shan, Hong
Lv, Jian
Zhao, Tongtong
Xia, Junli
Long, Qihua
Steinberger, Sharon
Jacobi, Adam
Deyer, Timothy
Luksza, Marta
Liu, Fang
Little, Brent P.
Fayad, Zahi A.
Yang, Yang
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7446729
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7446729
Other Identifiers
ISSN
1078-8956
E-ISSN
1546-170X
DOI
10.1038/s41591-020-0931-3
