An Insight of the First Community Infected COVID-19 Patient in Beijing by Imported Case: Role of Deep Learning-Assisted CT Diagnosis / 中国医学科学杂志(英文版)
Chinese Medical Sciences Journal
;
(4): 66-71, 2021.
Artigo
em Inglês
| WPRIM
| ID: wpr-879311
ABSTRACT
In the era of coronavirus disease 2019 (COVID-19) pandemic, imported COVID-19 cases pose great challenges to many countries. Chest CT examination is considered to be complementary to nucleic acid test for COVID-19 detection and diagnosis. We report the first community infected COVID-19 patient by an imported case in Beijing, which manifested as nodular lesions on chest CT imaging at the early stage. Deep Learning (DL)-based diagnostic systems quantitatively monitored the progress of pulmonary lesions in 6 days and timely made alert for suspected pneumonia, so that prompt medical isolation was taken. The patient was confirmed as COVID-19 case after nucleic acid test, for which the community transmission was prevented timely. The roles of DL-assisted diagnosis in helping radiologists screening suspected COVID cases were discussed.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Tomografia Computadorizada por Raios X
/
Infecções Comunitárias Adquiridas
/
Pequim
/
Aprendizado Profundo
/
Teste para COVID-19
/
COVID-19
/
Pulmão
Tipo de estudo:
Estudo diagnóstico
Limite:
Adulto
/
Humanos
/
Masculino
País/Região como assunto:
Ásia
Idioma:
Inglês
Revista:
Chinese Medical Sciences Journal
Ano de publicação:
2021
Tipo de documento:
Artigo
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