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COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control
COVID-19 has brought significant changes to our political, social, and technological landscape. This paper explores the emergence and global spread of the disease and focuses on the role of Artificial Intelligence (AI) in containing its transmission. To the best of our knowledge, there has been no s...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663297/ https://www.ncbi.nlm.nih.gov/pubmed/38028660 http://dx.doi.org/10.3389/frai.2023.1266560 |
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author | Farhat, Faiza Sohail, Shahab Saquib Alam, Mohammed Talha Ubaid, Syed Shakil Ashhad, Mohd Madsen, Dag Øivind |
author_facet | Farhat, Faiza Sohail, Shahab Saquib Alam, Mohammed Talha Ubaid, Syed Shakil Ashhad, Mohd Madsen, Dag Øivind |
author_sort | Farhat, Faiza |
collection | PubMed |
description | COVID-19 has brought significant changes to our political, social, and technological landscape. This paper explores the emergence and global spread of the disease and focuses on the role of Artificial Intelligence (AI) in containing its transmission. To the best of our knowledge, there has been no scientific presentation of the early pictorial representation of the disease's spread. Additionally, we outline various domains where AI has made a significant impact during the pandemic. Our methodology involves searching relevant articles on COVID-19 and AI in leading databases such as PubMed and Scopus to identify the ways AI has addressed pandemic-related challenges and its potential for further assistance. While research suggests that AI has not fully realized its potential against COVID-19, likely due to data quality and diversity limitations, we review and identify key areas where AI has been crucial in preparing the fight against any sudden outbreak of the pandemic. We also propose ways to maximize the utilization of AI's capabilities in this regard. |
format | Online Article Text |
id | pubmed-10663297 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106632972023-11-08 COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control Farhat, Faiza Sohail, Shahab Saquib Alam, Mohammed Talha Ubaid, Syed Shakil Ashhad, Mohd Madsen, Dag Øivind Front Artif Intell Artificial Intelligence COVID-19 has brought significant changes to our political, social, and technological landscape. This paper explores the emergence and global spread of the disease and focuses on the role of Artificial Intelligence (AI) in containing its transmission. To the best of our knowledge, there has been no scientific presentation of the early pictorial representation of the disease's spread. Additionally, we outline various domains where AI has made a significant impact during the pandemic. Our methodology involves searching relevant articles on COVID-19 and AI in leading databases such as PubMed and Scopus to identify the ways AI has addressed pandemic-related challenges and its potential for further assistance. While research suggests that AI has not fully realized its potential against COVID-19, likely due to data quality and diversity limitations, we review and identify key areas where AI has been crucial in preparing the fight against any sudden outbreak of the pandemic. We also propose ways to maximize the utilization of AI's capabilities in this regard. Frontiers Media S.A. 2023-11-08 /pmc/articles/PMC10663297/ /pubmed/38028660 http://dx.doi.org/10.3389/frai.2023.1266560 Text en Copyright © 2023 Farhat, Sohail, Alam, Ubaid, Shakil, Ashhad and Madsen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Artificial Intelligence Farhat, Faiza Sohail, Shahab Saquib Alam, Mohammed Talha Ubaid, Syed Shakil Ashhad, Mohd Madsen, Dag Øivind COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control |
title | COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control |
title_full | COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control |
title_fullStr | COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control |
title_full_unstemmed | COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control |
title_short | COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control |
title_sort | covid-19 and beyond: leveraging artificial intelligence for enhanced outbreak control |
topic | Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663297/ https://www.ncbi.nlm.nih.gov/pubmed/38028660 http://dx.doi.org/10.3389/frai.2023.1266560 |
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