Artificial intelligence-powered search tools and resources in the fight against covid-19

Larry J. Kricka, Sergei Polevikov, Jason Y. Park, Paolo Fortina, Sergio Bernardini, Daniel Satchkov, Valentin Kolesov, Maxim Grishkov

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Emerging technologies are set to play an important role in our response to the COVID-19 pandemic. This paper explores three prominent initiatives: COVID-19 focused datasets (e.g., CORD-19); ArtificiaI intelligence-powered search tools (e.g., WellAI, SciSight); and contact tracing based on mobile communication technology. We believe that increasing awareness of these tools will be important in future research into the disease, COVID-19, and the virus, SARS-CoV-2.

Original languageEnglish (US)
Pages (from-to)106-116
Number of pages11
JournalElectronic Journal of the International Federation of Clinical Chemistry and Laboratory Medicine
Volume31
Issue number2
StatePublished - 2020

Keywords

  • Artificial intelligence
  • COVID-19
  • Contact tracing
  • Machine learning
  • SARS-CoV-2

ASJC Scopus subject areas

  • Clinical Biochemistry
  • Biochemistry, medical

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