Document Type
Article
Publication Date
12-1-2020
Abstract
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.
Recommended Citation
Laudanski, Krzysztof; Shea, Gregory; DiMeglio, Matthew; Rastrepo, Mariana; and Solomon, Cassie, "What Can COVID-19 Teach Us about Using AI in Pandemics?" (2020). Division of Internal Medicine Faculty Papers & Presentations. Paper 39.
https://jdc.jefferson.edu/internalfp/39
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
PubMed ID
33271960
Language
English
Comments
This article is the author's final published version in Healthcare (Switzerland), Volume 8, Issue 4, 2020, Article number 527.
The published version is available at https://doi.org/10.3390/healthcare8040527.
Copyright © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).