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Applied artificial intelligence on COVID-19 imaging for risk assessment

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Start & end year

    N/A

  • Known Financial Commitments (USD)

    $97,600

  • Funder

    Novo Nordisk Foundation

  • Research Location

    Denmark

  • Lead Research Institution

    Department of Computer Science, University of Copenhagen

  • Research Priority Alignment

    N/A

  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Prognostic factors for disease severity

  • Special Interest Tags

    N/A

  • Study Type

    Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

X-ray images can be used to show infection patterns in the lungs. This project will develop artificial intelligence (AI) to be able to characterize the type of infection that is shown on x-ray images, the degree of infection as well as the extent to which it resembles a typical COVID-19 infection. This will provide additional knowledge for the risk model that is being developed in the project "Applied Artificial Intelligence for real-time risk assessment of patients with COVID-19" at Rigshospitalet, also with support of the Novo Nordisk Foundation. The hope is that such models can be used by frontline staff when dealing with new COVID-19 patients as well as by planners in the health service. The project team is centred around existing clinical and epidemiological research groups at Rigshospitalet and Bisbebjerg Hospital who have an interest in AI, with support from a team of AI experts from the Department of Computer Science at the University of Copenhagen.