Artificial intelligence-based approaches for COVID-19 patient management

被引：4

作者：

Lan, Lan ^{[1
]}

Sun, Wenbo ^{[1
]}

Xu, Dan ^{[1
]}

Yu, Minhua ^{[1
]}

Xiao, Feng ^{[1
]}

Hu, Huijuan ^{[1
]}

Xu, Haibo ^{[1
]}

Wang, Xinghuan ^{[2
,3
]}

机构：

[1] Wuhan Univ, Zhongnan Hosp, Dept Radiol, 169 Donghu Rd, Wuhan 430071, Hunan, Peoples R China

[2] Wuhan Univ, Zhongnan Hosp, Ctr Evidence Based & Translat Med, 169 Donghu Rd, Wuhan 430071, Hunan, Peoples R China

[3] Wuhan Univ, Zhongnan Hosp, Dept Urol, Wuhan 430071, Hunan, Peoples R China

来源：

INTELLIGENT MEDICINE | 2021年 / 1卷 / 01期

关键词：

Coronavirus disease 2019; Artificial intelligence; COVID-19(Coronavirus disease 2019); CORONAVIRUS; SARS-COV-2; PROGNOSIS; ISSUES; COHORT; RISK;

D O I：

10.1016/j.imed.2021.05.005

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

During the highly infectious pandemic of coronavirus disease 2019 (COVID-19), artificial intelligence (AI) has provided support in addressing challenges and accelerating achievements in controlling this public health crisis. It has been applied in fields varying from outbreak forecasting to patient management and drug/vaccine development. In this paper, we specifically review the current status of AI-based approaches for patient management. Limitations and challenges still exist, and further needs are highlighted.

引用

页码：10 / 15

页数：6

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