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RAM-COVID - Risk Assessment Modeling of COVID-19 Patients for Monitoring and Triage

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Funder

    Innovationsfonden Denmark

  • Principal Investigator

    N/A

  • Research Location

    Denmark

  • Lead Research Institution

    Cerebriu A / S, DIKU, Rigshospitalet I København

  • Research Priority Alignment

    N/A

  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease susceptibility

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

At present, it is unclear why some patients affected by COVID-19 become seriously ill, while others experience only mild symptoms. There are as yet no risk assessment models to assess which course of treatment a patient may need. This project will be developed through a decision-making tool based on artificial intelligence, which based on X-ray images of COVID-19 patients' lungs combined with treatment data can help assess which course of treatment the patient may need. With an automatic real-time solution like this, it is possible to relieve and streamline an already pressured healthcare system.