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Review on the COVID-19 pandemic prevention and control system based on AI.

Authors :
Yi J
Zhang H
Mao J
Chen Y
Zhong H
Wang Y
Source :
Engineering applications of artificial intelligence [Eng Appl Artif Intell] 2022 Sep; Vol. 114, pp. 105184. Date of Electronic Publication: 2022 Jul 11.
Publication Year :
2022

Abstract

As a new technology, artificial intelligence (AI) has recently received increasing attention from researchers and has been successfully applied to many domains. Currently, the outbreak of the COVID-19 pandemic has not only put people's lives in jeopardy but has also interrupted social activities and stifled economic growth. Artificial intelligence, as the most cutting-edge science field, is critical in the fight against the pandemic. To respond scientifically to major emergencies like COVID-19, this article reviews the use of artificial intelligence in the combat against the pandemic from COVID-19 large data, intelligent devices and systems, and intelligent robots. This article's primary contributions are in two aspects: (1) we summarized the applications of AI in the pandemic, including virus spreading prediction, patient diagnosis, vaccine development, excluding potential virus carriers, telemedicine service, economic recovery, material distribution, disinfection, and health care. (2) We concluded the faced challenges during the AI-based pandemic prevention process, including multidimensional data, sub-intelligent algorithms, and unsystematic, and discussed corresponding solutions, such as 5G, cloud computing, and unsupervised learning algorithms. This article systematically surveyed the applications and challenges of AI technology during the pandemic, which is of great significance to promote the development of AI technology and can serve as a new reference for future emergencies.<br />Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (© 2022 Published by Elsevier Ltd.)

Details

Language :
English
ISSN :
0952-1976
Volume :
114
Database :
MEDLINE
Journal :
Engineering applications of artificial intelligence
Publication Type :
Academic Journal
Accession number :
35846728
Full Text :
https://doi.org/10.1016/j.engappai.2022.105184