Mapping the Landscape of Artificial Intelligence Applications against COVID-19

Bullock, Joseph, Alexandra, null, Luccioni, null, Pham, Katherine Hoffmann, Lam, Cynthia Sin Nga, Luengo-Oroz, Miguel

arXiv.org Artificial Intelligence 

COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization, with over 294,000 cases as of March 22, 2020 (WHO, 2020). In this review, we present an overview of recent studies using Machine Learning and, more broadly, Artificial Intelligence, to tackle many aspects of the COVID-19 crisis at different scales including molecular, medical and epidemiological applications. We finish with a discussion of promising future directions of research and the tools and resources needed to facilitate AI research. Executive Summary - There is a broad range of potential applications of AI covering medical and societal challenges created by the COVID-19 pandemic; however, few of them are currently mature enough to show operational impact.

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