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

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...

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Autores principales: Yi, Junfei, Zhang, Hui, Mao, Jianxu, Chen, Yurong, Zhong, Hang, Wang, Yaonan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271459/
https://www.ncbi.nlm.nih.gov/pubmed/35846728
http://dx.doi.org/10.1016/j.engappai.2022.105184
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author Yi, Junfei
Zhang, Hui
Mao, Jianxu
Chen, Yurong
Zhong, Hang
Wang, Yaonan
author_facet Yi, Junfei
Zhang, Hui
Mao, Jianxu
Chen, Yurong
Zhong, Hang
Wang, Yaonan
author_sort Yi, Junfei
collection PubMed
description 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.
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spelling pubmed-92714592022-07-11 Review on the COVID-19 pandemic prevention and control system based on AI Yi, Junfei Zhang, Hui Mao, Jianxu Chen, Yurong Zhong, Hang Wang, Yaonan Eng Appl Artif Intell Survey Paper 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. Published by Elsevier Ltd. 2022-09 2022-07-11 /pmc/articles/PMC9271459/ /pubmed/35846728 http://dx.doi.org/10.1016/j.engappai.2022.105184 Text en © 2022 Published by Elsevier Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Survey Paper
Yi, Junfei
Zhang, Hui
Mao, Jianxu
Chen, Yurong
Zhong, Hang
Wang, Yaonan
Review on the COVID-19 pandemic prevention and control system based on AI
title Review on the COVID-19 pandemic prevention and control system based on AI
title_full Review on the COVID-19 pandemic prevention and control system based on AI
title_fullStr Review on the COVID-19 pandemic prevention and control system based on AI
title_full_unstemmed Review on the COVID-19 pandemic prevention and control system based on AI
title_short Review on the COVID-19 pandemic prevention and control system based on AI
title_sort review on the covid-19 pandemic prevention and control system based on ai
topic Survey Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271459/
https://www.ncbi.nlm.nih.gov/pubmed/35846728
http://dx.doi.org/10.1016/j.engappai.2022.105184
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