Applied artificial intelligence on COVID-19 imaging for risk assessment
- Funded by Novo Nordisk Foundation
- Total publications:0 publications
Grant number: unknown
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Key facts
Disease
COVID-19Known Financial Commitments (USD)
$97,600Funder
Novo Nordisk FoundationPrincipal Investigator
N/A
Research Location
DenmarkLead Research Institution
Department of Computer Science, University of CopenhagenResearch Priority Alignment
N/A
Research Category
Clinical characterisation and management
Research Subcategory
Prognostic factors for disease severity
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
X-ray images can be used to show infection patterns in the lungs. This project will develop artificial intelligence (AI) to be able to characterize the type of infection that is shown on x-ray images, the degree of infection as well as the extent to which it resembles a typical COVID-19 infection. This will provide additional knowledge for the risk model that is being developed in the project "Applied Artificial Intelligence for real-time risk assessment of patients with COVID-19" at Rigshospitalet, also with support of the Novo Nordisk Foundation. The hope is that such models can be used by frontline staff when dealing with new COVID-19 patients as well as by planners in the health service. The project team is centred around existing clinical and epidemiological research groups at Rigshospitalet and Bisbebjerg Hospital who have an interest in AI, with support from a team of AI experts from the Department of Computer Science at the University of Copenhagen.