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AI4COVID - Artificial Intelligence for COVID-19

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Start & end year

    N/A

  • Funder

    Innovationsfonden Denmark

  • Research Location

    Denmark, Denmark

  • Lead Research Institution

    Corti ApS, Capital Region of Denmark

  • Research Priority Alignment

    N/A

  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Supportive care, processes of care and management

  • Special Interest Tags

    Digital Health

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

The emergency services and other health advice lines are under enormous pressure. Using artificial intelligence, this project will analyze patient calls and automatically identify patients who are - or are at risk of being - infected with COVID-19, which i.a. can be used for resource planning. In addition, the project will develop a tool that helps healthcare professionals identify whether a patient is infected and reminds what precautions the patient should take in that case. In this way, high-risk patients can be identified more quickly and the call time shortened. To reduce the number of uncritical calls, an online tool is being developed to help people follow their own development and thus assess their own risk of infection.