What Can COVID-19 Teach Us about Using AI in Pandemics?

The COVID-19 pandemic put significant strain on societies and their resources, with the healthcare system and workers being particularly affected. Artificial Intelligence (AI) offers the unique possibility of improving the response to a pandemic as it emerges and evolves. Here, we utilize the WHO fr...

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Main Authors: Krzysztof Laudanski, Gregory Shea, Matthew DiMeglio, Mariana Restrepo, Cassie Solomon
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Healthcare
Subjects:
Online Access:https://www.mdpi.com/2227-9032/8/4/527
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author Krzysztof Laudanski
Gregory Shea
Matthew DiMeglio
Mariana Restrepo
Cassie Solomon
author_facet Krzysztof Laudanski
Gregory Shea
Matthew DiMeglio
Mariana Restrepo
Cassie Solomon
author_sort Krzysztof Laudanski
collection DOAJ
description The COVID-19 pandemic put significant strain on societies and their resources, with the healthcare system and workers being particularly affected. Artificial Intelligence (AI) offers the unique possibility of improving the response to a pandemic as it emerges and evolves. Here, we utilize the WHO framework of a pandemic evolution to analyze the various AI applications. Specifically, we analyzed AI from the perspective of all five domains of the WHO pandemic response. To effectively review the current scattered literature, we organized a sample of relevant literature from various professional and popular resources. The article concludes with a consideration of AI’s weaknesses as key factors affecting AI in future pandemic preparedness and response.
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spelling doaj.art-41061968a58c4701b37aab45fe4145dd2023-11-20T23:08:51ZengMDPI AGHealthcare2227-90322020-12-018452710.3390/healthcare8040527What Can COVID-19 Teach Us about Using AI in Pandemics?Krzysztof Laudanski0Gregory Shea1Matthew DiMeglio2Mariana Restrepo3Cassie Solomon4Department of Anesthesiology and Critical Care, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USALeonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA 19104, USADepartment of Internal Medicine, Thomas Jefferson University Hospital, Philadelphia, PA 19107, USADepartment of Biology, University of Pennsylvania, Philadelphia, PA 19104, USAThe New Group Organizational Consulting Inc., Philadelphia, PA 19104, USAThe COVID-19 pandemic put significant strain on societies and their resources, with the healthcare system and workers being particularly affected. Artificial Intelligence (AI) offers the unique possibility of improving the response to a pandemic as it emerges and evolves. Here, we utilize the WHO framework of a pandemic evolution to analyze the various AI applications. Specifically, we analyzed AI from the perspective of all five domains of the WHO pandemic response. To effectively review the current scattered literature, we organized a sample of relevant literature from various professional and popular resources. The article concludes with a consideration of AI’s weaknesses as key factors affecting AI in future pandemic preparedness and response.https://www.mdpi.com/2227-9032/8/4/527pandemicCOVID-19artificial intelligencedemand constraintsinnovation
spellingShingle Krzysztof Laudanski
Gregory Shea
Matthew DiMeglio
Mariana Restrepo
Cassie Solomon
What Can COVID-19 Teach Us about Using AI in Pandemics?
Healthcare
pandemic
COVID-19
artificial intelligence
demand constraints
innovation
title What Can COVID-19 Teach Us about Using AI in Pandemics?
title_full What Can COVID-19 Teach Us about Using AI in Pandemics?
title_fullStr What Can COVID-19 Teach Us about Using AI in Pandemics?
title_full_unstemmed What Can COVID-19 Teach Us about Using AI in Pandemics?
title_short What Can COVID-19 Teach Us about Using AI in Pandemics?
title_sort what can covid 19 teach us about using ai in pandemics
topic pandemic
COVID-19
artificial intelligence
demand constraints
innovation
url https://www.mdpi.com/2227-9032/8/4/527
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