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THE USE OF ARTIFICIAL INTELLIGENCE METHODS TO DISCRIMINATE COVID-19 FROM OTHER COMMUNITY ACQUIRED PNEUMOPATHY USING CHEST X-RAY AND CT IMAGES (AIMDP COVID-19 project)

  • Funded by Institut Pasteur International Network (IPIN)
  • Total publications:0 publications

Grant number: Unknown

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Key facts

  • Disease

    COVID-19

  • Funder

    Institut Pasteur International Network (IPIN)

  • Principal Investigator

    N/A

  • Research Location

    N/A

  • Lead Research Institution

    N/A

  • Research Priority Alignment

    N/A

  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Diagnostics

  • 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

Diagnostic of SARS-CoV-2 Coronavirus caused-disease (Covid-19) is a bottleneck in the immediate follow-up of patients. We propose automated detection methods based on Artificial Intelligence (AI) Algorithms (Machine Learning and Form Recognition), on chest Computed tomography (CT) or X-Ray images, to discriminate the Covid-19 disease from other Community Acquired Pneumonia (CAP). The methods will be used as complement to the reverse-transcription polymerase chain reaction (RT-PCR) tests.