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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:242 publications

Grant number: Unknown

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Key facts

  • Disease

    COVID-19

  • Funder

    Institut Pasteur International Network (IPIN)

  • Principal Investigator

    .

  • Research Location

    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.

Publicationslinked via Europe PMC

Last Updated:21 hours ago

View all publications at Europe PMC

Living with Dysphagia and Dysarthria: A Qualitative Exploration of the Perspectives of People with Motor Neuron Disease and Their Caregivers.

Fluctuations of viti- and oleiculture traditions in the Bronze and Iron Age Levant.

Dysregulated Alternative Splicing in Breast Cancer Subtypes of RIF1 and Other Transcripts.

Development and Validation of the Intimate Partner Violence Workplace Disruptions Assessment (IPV-WDA).

Elucidating directed neural dynamics of scene construction across memory and imagination

Implementing a Novel Resident-Led Peer Support Program for Emergency Medicine Resident Physicians.

Cross-Activity Analysis of CRISPR/Cas9 Editing in Gene Families of <i>Solanum lycopersicum</i> Detected by Long-Read Sequencing.

Creating health systems citizens: enhanced professional identity formation through a para-curricular distinction track in health systems transformation and leadership.

A Comparison of Clinical Diagnostic Classification Criteria Used in Longitudinal Cohort Studies of the Alzheimer's Disease Continuum: A Systematic Review.