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A Survey of Artificial Intelligence Solutions in Response to the COVID-19 Pandemic in Saudi Arabia
Artificial Intelligence (AI) has a significant impact on the course of the COVID-19 pandemic from various aspects. This paper aims to explore the trends of AI applications and how they help predict and prevent the progress of COVID-19 in Saudi Arabia. The method used in this study is based on a narr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641371/ https://www.ncbi.nlm.nih.gov/pubmed/34876934 http://dx.doi.org/10.1016/j.procs.2021.10.073 |
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author | Aljizawi, Jailan Dalloul, Dina Ghryani, Layal AlDabbagh, Shaymaa Brahimi, Tayeb |
author_facet | Aljizawi, Jailan Dalloul, Dina Ghryani, Layal AlDabbagh, Shaymaa Brahimi, Tayeb |
author_sort | Aljizawi, Jailan |
collection | PubMed |
description | Artificial Intelligence (AI) has a significant impact on the course of the COVID-19 pandemic from various aspects. This paper aims to explore the trends of AI applications and how they help predict and prevent the progress of COVID-19 in Saudi Arabia. The method used in this study is based on a narrative review of recent literature on AI and COVID-19 and on a survey conducted on 211 participants. Results show that AI is a crucial element to overcoming COVID 19. The use of COVID-19 related Apps that helped reduce the pandemic spread was more common among the age group participants ranging from 15 - 30. The study concluded that COVID-19 made a positive impact on everyone, and by the use of technology, things got much more comfortable to help in enduring any long-term health consequences. |
format | Online Article Text |
id | pubmed-8641371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86413712021-12-03 A Survey of Artificial Intelligence Solutions in Response to the COVID-19 Pandemic in Saudi Arabia Aljizawi, Jailan Dalloul, Dina Ghryani, Layal AlDabbagh, Shaymaa Brahimi, Tayeb Procedia Comput Sci Article Artificial Intelligence (AI) has a significant impact on the course of the COVID-19 pandemic from various aspects. This paper aims to explore the trends of AI applications and how they help predict and prevent the progress of COVID-19 in Saudi Arabia. The method used in this study is based on a narrative review of recent literature on AI and COVID-19 and on a survey conducted on 211 participants. Results show that AI is a crucial element to overcoming COVID 19. The use of COVID-19 related Apps that helped reduce the pandemic spread was more common among the age group participants ranging from 15 - 30. The study concluded that COVID-19 made a positive impact on everyone, and by the use of technology, things got much more comfortable to help in enduring any long-term health consequences. The Author(s). Published by Elsevier B.V. 2021 2021-12-03 /pmc/articles/PMC8641371/ /pubmed/34876934 http://dx.doi.org/10.1016/j.procs.2021.10.073 Text en © 2021 The Author(s). Published by Elsevier B.V. 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 | Article Aljizawi, Jailan Dalloul, Dina Ghryani, Layal AlDabbagh, Shaymaa Brahimi, Tayeb A Survey of Artificial Intelligence Solutions in Response to the COVID-19 Pandemic in Saudi Arabia |
title | A Survey of Artificial Intelligence Solutions in Response to the COVID-19 Pandemic in Saudi Arabia |
title_full | A Survey of Artificial Intelligence Solutions in Response to the COVID-19 Pandemic in Saudi Arabia |
title_fullStr | A Survey of Artificial Intelligence Solutions in Response to the COVID-19 Pandemic in Saudi Arabia |
title_full_unstemmed | A Survey of Artificial Intelligence Solutions in Response to the COVID-19 Pandemic in Saudi Arabia |
title_short | A Survey of Artificial Intelligence Solutions in Response to the COVID-19 Pandemic in Saudi Arabia |
title_sort | survey of artificial intelligence solutions in response to the covid-19 pandemic in saudi arabia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641371/ https://www.ncbi.nlm.nih.gov/pubmed/34876934 http://dx.doi.org/10.1016/j.procs.2021.10.073 |
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