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Artificial intelligence computed tomography helps evaluate the severity of COVID-19 patients: A retrospective study

Yi Han Su-cheng Mu Hai-dong Zhang Wei Wei Xing-yue Wu Chao-yuan Jin Guo-rong Gu Bao-jun Xie Chao-yang Tong

世界急诊医学杂志（英文）2022，Vol.13Issue(2)：91-97,7.

世界急诊医学杂志（英文）2022，Vol.13Issue(2)：91-97,7.DOI:10.5847/wjem.j.1920-8642.2022.026

Artificial intelligence computed tomography helps evaluate the severity of COVID-19 patients: A retrospective study

Yi Han ¹Su-cheng Mu ¹Hai-dong Zhang ²Wei Wei ¹Xing-yue Wu ¹Chao-yuan Jin ¹Guo-rong Gu ¹Bao-jun Xie ²Chao-yang Tong¹

作者信息

1. Department of Emergency Medicine,Zhongshan Hospital Fudan University,Shanghai 200032,China
2. Department of Radiology,Renmin Hospital of Wuhan University,Wuhan 430060,China
折叠

摘要

关键词

COVID-19/Artificial intelligence/Chest computed tomography

Key words

COVID-19/Artificial intelligence/Chest computed tomography

引用本文复制引用

Yi Han,Su-cheng Mu,Hai-dong Zhang,Wei Wei,Xing-yue Wu,Chao-yuan Jin,Guo-rong Gu,Bao-jun Xie,Chao-yang Tong..Artificial intelligence computed tomography helps evaluate the severity of COVID-19 patients: A retrospective study[J].世界急诊医学杂志（英文）,2022,13(2):91-97,7.

基金项目

This research was funded by the Shanghai Pujiang Program(grant number 2020PJD011). （grant number 2020PJD011）

世界急诊医学杂志（英文）

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ISSN：1920-8642

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