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:251 publications
Grant number: Unknown
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Key facts
Disease
COVID-19Funder
Institut Pasteur International Network (IPIN)Principal Investigator
N/A
Research Location
N/ALead Research Institution
N/AResearch 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.
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