Journal of Artificial Intelligence Research · 2020 · 338 citations · 49 references
ComputingComputer ScienceInfectious DiseasesArtificial IntelligenceInfectious Disease InformaticsMachine LearningDisease Surveillance SystemsEpidemic ForecastingMolecular SurveillanceOutbreak ResponsePandemic PreparednessPandemic ResponseData Synthesis From Multiple SourcesMachine Learning DiagnosticsMachine Learning SurveillanceOpen Science InfrastructureOutbreak AnalyticsPandemic Response PolicyPandemic Risk AssessmentSars-cov-2 Infection
COVID‑19, caused by SARS‑CoV‑2, has been declared a pandemic with over 18 million confirmed cases worldwide as of early August 2020. The review surveys recent AI studies addressing COVID‑19 challenges and stresses the need for international cooperation to maximize AI’s potential in current and future pandemics. The authors review datasets, tools, and resources for AI research and discuss strategic considerations for operational implementation of multidisciplinary partnerships and open science. They identify AI applications at molecular, clinical, and societal scales, including drug discovery, diagnostic support, prognosis evaluation, and epidemic and infodemic tracking using diverse data sources.
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization, which has reported over 18 million confirmed cases as of August 5, 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. We have identified applications that address challenges posed by COVID-19 at different scales, including: molecular, by identifying new or existing drugs for treatment; clinical, by supporting diagnosis and evaluating prognosis based on medical imaging and non-invasive measures; and societal, by tracking both the epidemic and the accompanying infodemic using multiple data sources. We also review datasets, tools, and resources needed to facilitate Artificial Intelligence research, and discuss strategic considerations related to the operational implementation of multidisciplinary partnerships and open science. We highlight the need for international cooperation to maximize the potential of AI in this and future pandemics.
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