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AI-based medical image analyses to speed up accurate diagnosis of COVID-19

  • Funded by UK Research and Innovation (UKRI)
  • Total publications:0 publications

Grant number: NS/C000004/1

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Key facts

  • Disease

    COVID-19

  • Start & end year

    N/A

  • Known Financial Commitments (USD)

    $20,040.59

  • Funder

    UK Research and Innovation (UKRI)

  • Principal Investigator

    Dr. Yalin Zheng

  • Research Location

    United Kingdom

  • Lead Research Institution

    University of Liverpool

  • Research Priority Alignment

    N/A

  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Diagnostics

  • Special Interest Tags

    Innovation

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

New artificial intelligence techniques will be developed for fast and accurate diagnosis of COVID-19 using automated interpretation of CT and X-ray images. The resulting software tools will be made publicly available free of charge after initial internal validations.