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The worldwide methods of artificial intelligence for detection and diagnosis of COVID-19
This chapter aims to present and review the early and recent initiatives, researches, and applications of artificial intelligence (AI) and its methods on the detection and diagnosis of COVID-19 virus. Common methods of AI will be presented on these applications including the traditional work on arti...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8342405/ http://dx.doi.org/10.1016/B978-0-323-89777-8.00012-9 |
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author | Eldow, Moawia E. |
author_facet | Eldow, Moawia E. |
author_sort | Eldow, Moawia E. |
collection | PubMed |
description | This chapter aims to present and review the early and recent initiatives, researches, and applications of artificial intelligence (AI) and its methods on the detection and diagnosis of COVID-19 virus. Common methods of AI will be presented on these applications including the traditional work on artificial neural networks and the recent approaches on machine learning and deep learning. In this chapter, a survey on many examples of the application of the AI methods on the detection and diagnosis of COVID-19 will be highlighted including the early trials in China and the recent researches in other regions, beside most trials in all other regions of the World including Asia, North America, Europe, and Africa. This chapter will also show many comparisons of the explained approaches and trials based on methods, type of applications, and regions. Brief view of the future and expected applications and trends of AI in the area of detection and diagnosis of viruses and especially the COVID-19 are explained and discussed at the end of the chapter. |
format | Online Article Text |
id | pubmed-8342405 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-83424052021-08-06 The worldwide methods of artificial intelligence for detection and diagnosis of COVID-19 Eldow, Moawia E. Leveraging Artificial Intelligence in Global Epidemics Article This chapter aims to present and review the early and recent initiatives, researches, and applications of artificial intelligence (AI) and its methods on the detection and diagnosis of COVID-19 virus. Common methods of AI will be presented on these applications including the traditional work on artificial neural networks and the recent approaches on machine learning and deep learning. In this chapter, a survey on many examples of the application of the AI methods on the detection and diagnosis of COVID-19 will be highlighted including the early trials in China and the recent researches in other regions, beside most trials in all other regions of the World including Asia, North America, Europe, and Africa. This chapter will also show many comparisons of the explained approaches and trials based on methods, type of applications, and regions. Brief view of the future and expected applications and trends of AI in the area of detection and diagnosis of viruses and especially the COVID-19 are explained and discussed at the end of the chapter. 2021 2021-08-06 /pmc/articles/PMC8342405/ http://dx.doi.org/10.1016/B978-0-323-89777-8.00012-9 Text en Copyright © 2021 Elsevier Inc. All rights reserved. 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 Eldow, Moawia E. The worldwide methods of artificial intelligence for detection and diagnosis of COVID-19 |
title | The worldwide methods of artificial intelligence for detection and diagnosis of COVID-19 |
title_full | The worldwide methods of artificial intelligence for detection and diagnosis of COVID-19 |
title_fullStr | The worldwide methods of artificial intelligence for detection and diagnosis of COVID-19 |
title_full_unstemmed | The worldwide methods of artificial intelligence for detection and diagnosis of COVID-19 |
title_short | The worldwide methods of artificial intelligence for detection and diagnosis of COVID-19 |
title_sort | worldwide methods of artificial intelligence for detection and diagnosis of covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8342405/ http://dx.doi.org/10.1016/B978-0-323-89777-8.00012-9 |
work_keys_str_mv | AT eldowmoawiae theworldwidemethodsofartificialintelligencefordetectionanddiagnosisofcovid19 AT eldowmoawiae worldwidemethodsofartificialintelligencefordetectionanddiagnosisofcovid19 |