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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Ltd.
2022
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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. |
format | Online Article Text |
id | pubmed-9271459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
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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