Artificial Intelligence in the Fight Against the COVID-19 Pandemic: Opportunities and Challenges

Alaa Abd-Alrazaq, Jens Schneider, Dari Alhuwail, Mounir Hamdi, Saif Al-Kuwari, Dena Al-Thani, Mowafa Househ*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

6 Citations (Scopus)

Abstract

The world is witnessing unprecedented times as the novel Coronavirus disease (COVID-19) has already conquered and locked down most of the globe. While some indications suggest that the COVID-19 curve is starting to flatten, as of May 2020, we still see constant linear growth in cases and fatalities. Even worse, it is speculated that the situation may further deteriorate with a possible second wave. As governments around the world continue to impose increasingly stringent measures to fight and limit the spread of the pandemic, Artificial Intelligence (AI) tools can play a significant role in the public health surveillance and diagnostics relating to COVID-19. AI is being heavily leveraged in the diagnosis of COVID-19, prediction of its severity for infection, and the discovery of related drugs and vaccines. However, several challenges can impede the exploitation of AI amid the COVID-19 pandemic such as lack of data, privacy, and maturity of AI applications. This chapter discusses the main AI opportunities and challenges in the fight against the COVID-19 pandemic.

Original languageEnglish
Title of host publicationLecture Notes in Bioengineering
PublisherSpringer Science and Business Media Deutschland GmbH
Pages185-196
Number of pages12
DOIs
Publication statusPublished - 2021

Publication series

NameLecture Notes in Bioengineering
ISSN (Print)2195-271X
ISSN (Electronic)2195-2728

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