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Artificial intelligence-based approaches for COVID-19 patient management

Authors :
Lan Lan
Wenbo Sun
Dan Xu
Minhua Yu
Feng Xiao
Huijuan Hu
Haibo Xu
Xinghuan Wang
Source :
Intelligent Medicine, Vol 1, Iss 1, Pp 10-15 (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

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.

Details

Language :
English
ISSN :
26671026
Volume :
1
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Intelligent Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.b86311333fef40c9a0cb0714d7207c5d
Document Type :
article
Full Text :
https://doi.org/10.1016/j.imed.2021.05.005