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Improved prognosis using chest X-rays

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Start & end year

    N/A

  • Known Financial Commitments (USD)

    $0

  • Funder

    IVADO

  • Principal Investigator

    Unspecified Joseph Paul Cohen

  • Research Location

    Canada

  • Lead Research Institution

    N/A

  • Research Priority Alignment

    N/A

  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Supportive care, processes of care and management

  • Special Interest Tags

    N/A

  • Study Type

    Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

Chester is an existing prototype of a radiology assistant that can recognize certain pneumonia-related characteristics. During the current pandemic, this project aims to improve Chester's disease predictions with the aim of enhancing the management of patient care. How will this be done? By combining artificial intelligence and image recognition, while widely disseminating a public database of clinical metadata for a large number of COVID-19 cases (as well as SARS and other pneumonia cases).