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Chest X-ray AI for COVID-19

Grant number: RF-TAA-2020-D05

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Key facts

  • Disease

    COVID-19

  • Start & end year

    2020
    2021

  • Known Financial Commitments (USD)

    $408,716.67

  • Funder

    RIGHT Foundation

  • Principal Investigator

    Hyun-Jun Kim

  • Research Location

    41

  • Lead Research Institution

    Vuno

  • Research Priority Alignment

    N/A

  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Diagnostics

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

Development of an AI-powered diagnostic solution that analyzes chest radiographs and generates visualized data that can detect and differentiate major thoracic abnormalities and diseases including TB, pneumonia and COVID-19.