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The artificial intelligence (AI) role for tackling against COVID-19 pandemic
COVID-19 gains from the research and technology component's establishment of information science, artificial intelligence, and computer understanding. The article aims to discuss the numerous facets of today's modern technology utilized to combat COVID-19 emergencies on various scales, suc...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8295009/ https://www.ncbi.nlm.nih.gov/pubmed/34312593 http://dx.doi.org/10.1016/j.matpr.2021.07.357 |
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author | Shamman, Ali H. Hadi, Ahmed A. Ramul, Ali R. Abdul Zahra, Musaddak M. Gheni, Hassan M. |
author_facet | Shamman, Ali H. Hadi, Ahmed A. Ramul, Ali R. Abdul Zahra, Musaddak M. Gheni, Hassan M. |
author_sort | Shamman, Ali H. |
collection | PubMed |
description | COVID-19 gains from the research and technology component's establishment of information science, artificial intelligence, and computer understanding. The article aims to discuss the numerous facets of today's modern technology utilized to combat COVID-19 emergencies on various scales, such as medicinal picture handling, illness tracking, expected outcomes, computational science, and medications. Techniques: A complex search of the knowledge base associated with existing COVID-19 innovation is conducted. Furthermore, a concise survey of the excluded data is conducted, analyzing the various aspects of current developments for dealing with the COVID-19 pandemic. The below are the outcomes: We have a window of musings on the audit of the tech propellers used to mitigate and mask the significant impact of the upheaval. Even though several investigations into current innovation in COVID-19 have surfaced, there are still required implementations and contributions of innovation in this war. Consequently, a thorough presentation of the available data is given, and several modern technology implementations for combating the pandemic of COVID-19. Continuous advancements of advanced technologies have aided in improving the public's lives, and there is a strong belief that proven study plans utilizing AI would be of great benefit in assisting people in combating this infection. |
format | Online Article Text |
id | pubmed-8295009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82950092021-07-22 The artificial intelligence (AI) role for tackling against COVID-19 pandemic Shamman, Ali H. Hadi, Ahmed A. Ramul, Ali R. Abdul Zahra, Musaddak M. Gheni, Hassan M. Mater Today Proc Article COVID-19 gains from the research and technology component's establishment of information science, artificial intelligence, and computer understanding. The article aims to discuss the numerous facets of today's modern technology utilized to combat COVID-19 emergencies on various scales, such as medicinal picture handling, illness tracking, expected outcomes, computational science, and medications. Techniques: A complex search of the knowledge base associated with existing COVID-19 innovation is conducted. Furthermore, a concise survey of the excluded data is conducted, analyzing the various aspects of current developments for dealing with the COVID-19 pandemic. The below are the outcomes: We have a window of musings on the audit of the tech propellers used to mitigate and mask the significant impact of the upheaval. Even though several investigations into current innovation in COVID-19 have surfaced, there are still required implementations and contributions of innovation in this war. Consequently, a thorough presentation of the available data is given, and several modern technology implementations for combating the pandemic of COVID-19. Continuous advancements of advanced technologies have aided in improving the public's lives, and there is a strong belief that proven study plans utilizing AI would be of great benefit in assisting people in combating this infection. Elsevier Ltd. 2023 2021-07-22 /pmc/articles/PMC8295009/ /pubmed/34312593 http://dx.doi.org/10.1016/j.matpr.2021.07.357 Text en © 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Nanoelectronics, Nanophotonics, Nanomaterials, Nanobioscience & Nanotechnology. 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 Shamman, Ali H. Hadi, Ahmed A. Ramul, Ali R. Abdul Zahra, Musaddak M. Gheni, Hassan M. The artificial intelligence (AI) role for tackling against COVID-19 pandemic |
title | The artificial intelligence (AI) role for tackling against COVID-19 pandemic |
title_full | The artificial intelligence (AI) role for tackling against COVID-19 pandemic |
title_fullStr | The artificial intelligence (AI) role for tackling against COVID-19 pandemic |
title_full_unstemmed | The artificial intelligence (AI) role for tackling against COVID-19 pandemic |
title_short | The artificial intelligence (AI) role for tackling against COVID-19 pandemic |
title_sort | artificial intelligence (ai) role for tackling against covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8295009/ https://www.ncbi.nlm.nih.gov/pubmed/34312593 http://dx.doi.org/10.1016/j.matpr.2021.07.357 |
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