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  1. Article ; Online: Chatbots in the fight against the COVID-19 pandemic.

    Miner, Adam S / Laranjo, Liliana / Kocaballi, A Baki

    NPJ digital medicine

    2020  Volume 3, Page(s) 65

    Abstract: We are all together in a fight against the COVID-19 pandemic. Chatbots, if effectively designed and ... may aid future pandemic preparedness efforts. ...

    Abstract We are all together in a fight against the COVID-19 pandemic. Chatbots, if effectively designed and deployed, could help us by sharing up-to-date information quickly, encouraging desired health impacting behaviors, and lessening the psychological damage caused by fear and isolation. Despite this potential, the risk of amplifying misinformation and the lack of prior effectiveness research is cause for concern. Immediate collaborations between healthcare workers, companies, academics and governments are merited and may aid future pandemic preparedness efforts.
    Keywords covid19
    Language English
    Publishing date 2020-05-04
    Publishing country England
    Document type Journal Article
    ISSN 2398-6352
    ISSN (online) 2398-6352
    DOI 10.1038/s41746-020-0280-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Chatbots in the fight against the COVID-19 pandemic

    Miner, Adam S. / Laranjo, Liliana / Kocaballi, A. Baki

    npj Digital Medicine

    2020  Volume 3, Issue 1

    Keywords covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ISSN 2398-6352
    DOI 10.1038/s41746-020-0280-0
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  4. Article ; Online: Chatbots in the fight against the COVID-19 pandemic

    Adam S. Miner / Liliana Laranjo / A. Baki Kocaballi

    npj Digital Medicine, Vol 3, Iss 1, Pp 1-

    2020  Volume 4

    Abstract: We are all together in a fight against the COVID-19 pandemic. Chatbots, if effectively designed and ... may aid future pandemic preparedness efforts. ...

    Abstract We are all together in a fight against the COVID-19 pandemic. Chatbots, if effectively designed and deployed, could help us by sharing up-to-date information quickly, encouraging desired health impacting behaviors, and lessening the psychological damage caused by fear and isolation. Despite this potential, the risk of amplifying misinformation and the lack of prior effectiveness research is cause for concern. Immediate collaborations between healthcare workers, companies, academics and governments are merited and may aid future pandemic preparedness efforts.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7
    Language English
    Publishing date 2020-05-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  5. Article ; Online: Chatbots in the fight against the COVID-19 pandemic

    Adam S. Miner / Liliana Laranjo / A. Baki Kocaballi

    npj Digital Medicine, Vol 3, Iss 1, Pp 1-

    2020  Volume 4

    Abstract: We are all together in a fight against the COVID-19 pandemic. Chatbots, if effectively designed and ... may aid future pandemic preparedness efforts. ...

    Abstract We are all together in a fight against the COVID-19 pandemic. Chatbots, if effectively designed and deployed, could help us by sharing up-to-date information quickly, encouraging desired health impacting behaviors, and lessening the psychological damage caused by fear and isolation. Despite this potential, the risk of amplifying misinformation and the lack of prior effectiveness research is cause for concern. Immediate collaborations between healthcare workers, companies, academics and governments are merited and may aid future pandemic preparedness efforts.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7 ; covid19
    Language English
    Publishing date 2020-05-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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

    Martin, Alistair / Nateqi, Jama / Gruarin, Stefanie / Munsch, Nicolas / Abdarahmane, Isselmou / Zobel, Marc / Knapp, Bernhard

    Scientific reports

    2020  Volume 10, Issue 1, Page(s) 19012

    Abstract: ... the potential to be a key tool in the global fight against COVID-19. The Symptoma predictor is freely available ... To combat the pandemic of the coronavirus disease 2019 (COVID-19), numerous governments have ... with an accuracy of more than 90%. We tested the accuracy of Symptoma to identify COVID-19 using a set of diverse ...

    Abstract To combat the pandemic of the coronavirus disease 2019 (COVID-19), numerous governments have established phone hotlines to prescreen potential cases. These hotlines have struggled with the volume of callers, leading to wait times of hours or, even, an inability to contact health authorities. Symptoma is a symptom-to-disease digital health assistant that can differentiate more than 20,000 diseases with an accuracy of more than 90%. We tested the accuracy of Symptoma to identify COVID-19 using a set of diverse clinical cases combined with case reports of COVID-19. We showed that Symptoma can accurately distinguish COVID-19 in 96.32% of clinical cases. When considering only COVID-19 symptoms and risk factors, Symptoma identified 100% of those infected when presented with only three signs. Lastly, we showed that Symptoma's accuracy far exceeds that of simple "yes-no" questionnaires widely available online. In summary, Symptoma provides unparalleled accuracy in systematically identifying cases of COVID-19 while also considering over 20,000 other diseases. Furthermore, Symptoma allows free text input, furthered with disease-specific follow up questions, in 36 languages. Combined, these results and accessibility give Symptoma the potential to be a key tool in the global fight against COVID-19. The Symptoma predictor is freely available online at https://www.symptoma.com .
    MeSH term(s) Artificial Intelligence ; COVID-19 ; Coronavirus Infections/diagnosis ; Coronavirus Infections/epidemiology ; Humans ; Mass Screening/methods ; Mass Screening/standards ; Pandemics ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/epidemiology ; Software ; Telemedicine/methods ; Telemedicine/standards
    Keywords covid19
    Language English
    Publishing date 2020-11-04
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-020-75912-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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

    Martin, Alistair / Nateqi, Jama / Gruarin, Stefanie / Munsch, Nicolas / Abdarahmane, Isselmou / Zobel, Marc / Knapp, Bernhard

    Sci Rep

    Abstract: ... the potential to be a key tool in the global fight against COVID-19. The Symptoma predictor is freely available ... To combat the pandemic of the coronavirus disease 2019 (COVID-19), numerous governments have ... with an accuracy of more than 90%. We tested the accuracy of Symptoma to identify COVID-19 using a set of diverse ...

    Abstract To combat the pandemic of the coronavirus disease 2019 (COVID-19), numerous governments have established phone hotlines to prescreen potential cases. These hotlines have struggled with the volume of callers, leading to wait times of hours or, even, an inability to contact health authorities. Symptoma is a symptom-to-disease digital health assistant that can differentiate more than 20,000 diseases with an accuracy of more than 90%. We tested the accuracy of Symptoma to identify COVID-19 using a set of diverse clinical cases combined with case reports of COVID-19. We showed that Symptoma can accurately distinguish COVID-19 in 96.32% of clinical cases. When considering only COVID-19 symptoms and risk factors, Symptoma identified 100% of those infected when presented with only three signs. Lastly, we showed that Symptoma's accuracy far exceeds that of simple "yes-no" questionnaires widely available online. In summary, Symptoma provides unparalleled accuracy in systematically identifying cases of COVID-19 while also considering over 20,000 other diseases. Furthermore, Symptoma allows free text input, furthered with disease-specific follow up questions, in 36 languages. Combined, these results and accessibility give Symptoma the potential to be a key tool in the global fight against COVID-19. The Symptoma predictor is freely available online at https://www.symptoma.com .
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #910352
    Database COVID19

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

    Martin, Alistair / Nateqi, Jama / Gruarin, Stefanie / Munsch, Nicolas / Abdarahmane, Isselmou / Knapp, Bernhard

    bioRxiv

    Abstract: ... the potential to be a key tool in the global fight against COVID-19. The Symptoma predictor is freely available ... To combat the pandemic of the coronavirus disease (COVID-19), numerous governments have established ... than 90%. We tested the accuracy of Symptoma to identify COVID-19 using a set of diverse clinical cases ...

    Abstract To combat the pandemic of the coronavirus disease (COVID-19), numerous governments have established phone hotlines to prescreen potential cases. These hotlines have struggled with the volume of callers, leading to wait times of hours or, even, an inability to contact health authorities. Symptoma is a symptom-to-disease digital health assistant that can differentiate more than 20,000 diseases with an accuracy of more than 90%. We tested the accuracy of Symptoma to identify COVID-19 using a set of diverse clinical cases combined with case reports of COVID-19. We showed that Symptoma can accurately distinguish COVID-19 in 96.32% of clinical cases. When considering only COVID-19 symptoms and risk factors, Symptoma identified 100% of those infected when presented with only three signs. Lastly, we showed that Symptoma’s accuracy far exceeds that of simple “yes-no” questionnaires widely available online. In summary, Symptoma provides unparalleled accuracy in systematically identifying cases of COVID-19 while also considering over 20,000 other diseases. Furthermore, Symptoma allows free text input, furthered with disease-specific follow up questions, in 36 languages. Combined, these results and accessibility give Symptoma the potential to be a key tool in the global fight against COVID-19. The Symptoma predictor is freely available online at https://www.symptoma.com.
    Keywords covid19
    Publisher BioRxiv; WHO
    Document type Article ; Online
    DOI 10.1101/2020.03.25.008805
    Database COVID19

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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

    Martin, Alistair / Nateqi, Jama / Gruarin, Stefanie / Munsch, Nicolas / Abdarahmane, Isselmou / Knapp, Bernhard

    bioRxiv

    Abstract: ... the potential to be a key tool in the global fight against COVID-19. The Symptoma predictor is freely available ... To combat the pandemic of the coronavirus disease (COVID-19), numerous governments have established ... than 90%. We tested the accuracy of Symptoma to identify COVID-19 using a set of diverse clinical cases ...

    Abstract To combat the pandemic of the coronavirus disease (COVID-19), numerous governments have established phone hotlines to prescreen potential cases. These hotlines have struggled with the volume of callers, leading to wait times of hours or, even, an inability to contact health authorities. Symptoma is a symptom-to-disease digital health assistant that can differentiate more than 20,000 diseases with an accuracy of more than 90%. We tested the accuracy of Symptoma to identify COVID-19 using a set of diverse clinical cases combined with case reports of COVID-19. We showed that Symptoma can accurately distinguish COVID-19 in 96.32% of clinical cases. When considering only COVID-19 symptoms and risk factors, Symptoma identified 100% of those infected when presented with only three signs. Lastly, we showed that Symptoma9s accuracy far exceeds that of simple "yes-no" questionnaires widely available online. In summary, Symptoma provides unparalleled accuracy in systematically identifying cases of COVID-19 while also considering over 20,000 other diseases. Furthermore, Symptoma allows free text input, furthered with disease-specific follow up questions, in 36 languages. Combined, these results and accessibility give Symptoma the potential to be a key tool in the global fight against COVID-19. The Symptoma predictor is freely available online at https://www.symptoma.com.
    Keywords covid19
    Language English
    Publishing date 2020-03-27
    Publisher Cold Spring Harbor Laboratory
    Document type Article ; Online
    DOI 10.1101/2020.03.25.008805
    Database COVID19

    Full text online

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  10. Article ; Online: An artificial intelligence-based first-line defence against COVID-19

    Alistair Martin / Jama Nateqi / Stefanie Gruarin / Nicolas Munsch / Isselmou Abdarahmane / Marc Zobel / Bernhard Knapp

    Scientific Reports, Vol 10, Iss 1, Pp 1-

    digitally screening citizens for risks via a chatbot

    2020  Volume 7

    Abstract: ... the potential to be a key tool in the global fight against COVID-19. The Symptoma predictor is freely available ... Abstract To combat the pandemic of the coronavirus disease 2019 (COVID-19), numerous governments ... with an accuracy of more than 90%. We tested the accuracy of Symptoma to identify COVID-19 using a set of diverse ...

    Abstract Abstract To combat the pandemic of the coronavirus disease 2019 (COVID-19), numerous governments have established phone hotlines to prescreen potential cases. These hotlines have struggled with the volume of callers, leading to wait times of hours or, even, an inability to contact health authorities. Symptoma is a symptom-to-disease digital health assistant that can differentiate more than 20,000 diseases with an accuracy of more than 90%. We tested the accuracy of Symptoma to identify COVID-19 using a set of diverse clinical cases combined with case reports of COVID-19. We showed that Symptoma can accurately distinguish COVID-19 in 96.32% of clinical cases. When considering only COVID-19 symptoms and risk factors, Symptoma identified 100% of those infected when presented with only three signs. Lastly, we showed that Symptoma’s accuracy far exceeds that of simple “yes–no” questionnaires widely available online. In summary, Symptoma provides unparalleled accuracy in systematically identifying cases of COVID-19 while also considering over 20,000 other diseases. Furthermore, Symptoma allows free text input, furthered with disease-specific follow up questions, in 36 languages. Combined, these results and accessibility give Symptoma the potential to be a key tool in the global fight against COVID-19. The Symptoma predictor is freely available online at https://www.symptoma.com .
    Keywords Medicine ; R ; Science ; Q
    Subject code 610
    Language English
    Publishing date 2020-11-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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