Artificial Intelligence in the Fight Against the COVID-19 Pandemic: Opportunities and Challenges
Lecture Notes in Bioengineering
; : 185-196, 2021.
Article
in English
| Scopus | ID: covidwho-1366274
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. © 2021, Springer Nature Switzerland AG.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Lecture Notes in Bioengineering
Year:
2021
Document Type:
Article
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