Use of Artificial Intelligence to support the analysis of X-ray images in patients with pneumonia

Grant number: unknown

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Key facts

  • Disease

    COVID-19
  • start year

    -99
  • Known Financial Commitments (USD)

    $0
  • Funder

    University of São Paulo
  • Principal Investigator

    Prof. Renato Tinós
  • Research Location

    Brazil
  • Lead Research Institution

    N/A
  • Research Priority Alignment

    N/A
  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Disease pathogenesis

  • Special Interest Tags

    N/A

  • Study Type

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

This image bank, which is public , is made up of chest X -rays of patients without pneumonia and with viral, bacterial and COVID-19 pneumonia. Computational techniques, such as deep learning, feature selection and clustering, are being applied in order to understand which features of images allow to identify the different classes of the disease.