An artificial intelligence-based first-line defence against COVID-19: digitally screening citizens for risks via a chatbot.

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@article{ccc7fdd391184f2c92c431f320c97d73,

title = "An artificial intelligence-based first-line defence against COVID-19: digitally screening citizens for risks via a chatbot.",

author = "Alistair Martin and Jama Nateqi and Stefanie Gruarin and Nicolas Munsch and Isselmou Abdarahmane and Marc Zobel and Bernhard Knapp",

note = "Nateqi: Department of Internal Medicine, Paracelsus Medical University, Salzburg, Austria; Martin, Nateqi: contributed equally",

year = "2020",

doi = "10.1038/s41598-020-75912-x",

language = "English",

volume = "10",

pages = "19012",

journal = "Scientific reports",

issn = "2045-2322",

publisher = "Nature Publishing Group ",

number = "1",

}

TY - JOUR

T1 - An artificial intelligence-based first-line defence against COVID-19: digitally screening citizens for risks via a chatbot.

AU - Martin, Alistair

AU - Nateqi, Jama

AU - Gruarin, Stefanie

AU - Munsch, Nicolas

AU - Abdarahmane, Isselmou

AU - Zobel, Marc

AU - Knapp, Bernhard

N1 - Nateqi: Department of Internal Medicine, Paracelsus Medical University, Salzburg, Austria; Martin, Nateqi: contributed equally

PY - 2020

Y1 - 2020

U2 - 10.1038/s41598-020-75912-x

DO - 10.1038/s41598-020-75912-x

M3 - Original Article

C2 - 33149198

SN - 2045-2322

VL - 10

SP - 19012

JO - Scientific reports

JF - Scientific reports

IS - 1

ER -