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AI in Combating the COVID-19 Pandemic

The SARS-CoV-2 virus, the COVID-19 disease, and the resulting pandemic have reshaped the entire world in an unprecedented manner. Massive efforts have been made by AI communities to combat the pandemic. What roles has AI played in tackling COVID-19? How has AI performed in the battle against COVID-1...

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Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9328726/
https://www.ncbi.nlm.nih.gov/pubmed/35935446
http://dx.doi.org/10.1109/MIS.2022.3164313
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description The SARS-CoV-2 virus, the COVID-19 disease, and the resulting pandemic have reshaped the entire world in an unprecedented manner. Massive efforts have been made by AI communities to combat the pandemic. What roles has AI played in tackling COVID-19? How has AI performed in the battle against COVID-19? Where are the gaps and opportunities? What lessons can we learn to enhance the ability of AI to battle future pandemics? These questions, despite being fundamental, are yet to be answered in full or systematically. They need to be addressed by AI communities as a priority despite the easing of the omicron infectiousness and threat. This article reviews these issues with reflections on global AI research and the literature on tackling COVID-19. It is envisaged that the demand and priority of developing “pandemic AI” will increase over time, with smart global epidemic early warning systems to be developed by a global collaborative AI effort.
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spelling pubmed-93287262022-08-01 AI in Combating the COVID-19 Pandemic IEEE Intell Syst Editor's Perspective The SARS-CoV-2 virus, the COVID-19 disease, and the resulting pandemic have reshaped the entire world in an unprecedented manner. Massive efforts have been made by AI communities to combat the pandemic. What roles has AI played in tackling COVID-19? How has AI performed in the battle against COVID-19? Where are the gaps and opportunities? What lessons can we learn to enhance the ability of AI to battle future pandemics? These questions, despite being fundamental, are yet to be answered in full or systematically. They need to be addressed by AI communities as a priority despite the easing of the omicron infectiousness and threat. This article reviews these issues with reflections on global AI research and the literature on tackling COVID-19. It is envisaged that the demand and priority of developing “pandemic AI” will increase over time, with smart global epidemic early warning systems to be developed by a global collaborative AI effort. IEEE 2022-05-20 /pmc/articles/PMC9328726/ /pubmed/35935446 http://dx.doi.org/10.1109/MIS.2022.3164313 Text en This article is free to access and download, along with rights for full text and data mining, re-use and analysis.
spellingShingle Editor's Perspective
AI in Combating the COVID-19 Pandemic
title AI in Combating the COVID-19 Pandemic
title_full AI in Combating the COVID-19 Pandemic
title_fullStr AI in Combating the COVID-19 Pandemic
title_full_unstemmed AI in Combating the COVID-19 Pandemic
title_short AI in Combating the COVID-19 Pandemic
title_sort ai in combating the covid-19 pandemic
topic Editor's Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9328726/
https://www.ncbi.nlm.nih.gov/pubmed/35935446
http://dx.doi.org/10.1109/MIS.2022.3164313
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