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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)
Article en En | WPRIM | ID: wpr-879311
Biblioteca responsable: WPRO
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.
Asunto(s)
Texto completo: 1 Índice: WPRIM Asunto principal: Tomografía Computarizada por Rayos X / Infecciones Comunitarias Adquiridas / Beijing / Aprendizaje Profundo / Prueba de COVID-19 / COVID-19 / Pulmón Tipo de estudio: Diagnostic_studies Límite: Adult / Humans / Male País/Región como asunto: Asia Idioma: En Revista: Chinese Medical Sciences Journal Año: 2021 Tipo del documento: Article
Texto completo: 1 Índice: WPRIM Asunto principal: Tomografía Computarizada por Rayos X / Infecciones Comunitarias Adquiridas / Beijing / Aprendizaje Profundo / Prueba de COVID-19 / COVID-19 / Pulmón Tipo de estudio: Diagnostic_studies Límite: Adult / Humans / Male País/Región como asunto: Asia Idioma: En Revista: Chinese Medical Sciences Journal Año: 2021 Tipo del documento: Article