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Deep learning using chest radiographs to predict COVID-19 cardiopulmonary risk

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Start & end year

    N/A

  • Funder

    American Heart Association

  • Principal Investigator

    Unspecified Michael T Lu

  • Research Location

    United States of America

  • Lead Research Institution

    Massachusetts General Hospital

  • 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

Working with the Mass General Brigham hospitals, this team will use deep learning techniques and the initial chest x-ray of patients admitted for treatment to develop a new way to predict COVID-19 cardiopulmonary collapse and death.