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Artificial Intelligence-Powered Search Tools and Resources in the Fight Against COVID-19
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); Artificial intelligence-powered search tools (e.g., WellAI, SciSight); and contact tracing based on mobile com...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Communications and Publications Division (CPD) of the IFCC
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7294813/ https://www.ncbi.nlm.nih.gov/pubmed/32549878 |
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author | Kricka, Larry J. Polevikov, Sergei Park, Jason Y. Fortina, Paolo Bernardini, Sergio Satchkov, Daniel Kolesov, Valentin Grishkov, Maxim |
author_facet | Kricka, Larry J. Polevikov, Sergei Park, Jason Y. Fortina, Paolo Bernardini, Sergio Satchkov, Daniel Kolesov, Valentin Grishkov, Maxim |
author_sort | Kricka, Larry J. |
collection | PubMed |
description | 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); Artificial 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. |
format | Online Article Text |
id | pubmed-7294813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Communications and Publications Division (CPD) of the IFCC |
record_format | MEDLINE/PubMed |
spelling | pubmed-72948132020-06-16 Artificial Intelligence-Powered Search Tools and Resources in the Fight Against COVID-19 Kricka, Larry J. Polevikov, Sergei Park, Jason Y. Fortina, Paolo Bernardini, Sergio Satchkov, Daniel Kolesov, Valentin Grishkov, Maxim EJIFCC Data Paper 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); Artificial 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. The Communications and Publications Division (CPD) of the IFCC 2020-06-02 /pmc/articles/PMC7294813/ /pubmed/32549878 Text en Copyright © 2020 International Federation of Clinical Chemistry and Laboratory Medicine (IFCC). All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Data Paper Kricka, Larry J. Polevikov, Sergei Park, Jason Y. Fortina, Paolo Bernardini, Sergio Satchkov, Daniel Kolesov, Valentin Grishkov, Maxim Artificial Intelligence-Powered Search Tools and Resources in the Fight Against COVID-19 |
title | Artificial Intelligence-Powered Search Tools and Resources in the Fight Against COVID-19 |
title_full | Artificial Intelligence-Powered Search Tools and Resources in the Fight Against COVID-19 |
title_fullStr | Artificial Intelligence-Powered Search Tools and Resources in the Fight Against COVID-19 |
title_full_unstemmed | Artificial Intelligence-Powered Search Tools and Resources in the Fight Against COVID-19 |
title_short | Artificial Intelligence-Powered Search Tools and Resources in the Fight Against COVID-19 |
title_sort | artificial intelligence-powered search tools and resources in the fight against covid-19 |
topic | Data Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7294813/ https://www.ncbi.nlm.nih.gov/pubmed/32549878 |
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