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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...

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Autores principales: Farhat, Faiza, Sohail, Shahab Saquib, Alam, Mohammed Talha, Ubaid, Syed, Shakil, Ashhad, Mohd, Madsen, Dag Øivind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
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.
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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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