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AI software for the automated detection of covid-19 infection on chest CT

Project description

Covid-19 detection in a matter of minutes

The Covid-19 pandemic requires new methods for easy, fast and reliable detection. Kits forreverse transcriptase PCR (RT-PCR) are used for testing, but the results are not immediate. Studies suggest that computer tomography (CT) can be used instead. The EU-funded CoronAI project will develop an artificial intelligence (AI) solution that automatically analyses chest CT scans and assesses the likelihood and the severity of the Covid-19 infection within a few minutes. The technology receives an image from the CT scanner, analyses it and returns an easy-to-read report on the level of suspicion of Covid-19 and the degree of lung damage. The solution will assist medical staff to triage potential Covid-19 patients and serve as a caseregistry for management reporting and monitoring of a potential new outbreak.


An AI platform to support medical practitioners to screen potential COVID-19 patients using medical imaging.

Aidence is creating a new product to automatically analyse chest CT scans and diagnose the presence of corona (covid-19) viral infection. The product receives an image from the CT scanner, analyses it, and returns an easy-to-read report on the most likely diagnosis. This is done in the background fully automatically and the report is available for medical staff within a few minutes.

Studies indicate CT is as least as sensitive as the current RT-PCR kit for testing, and is very fast. It is useful in case no kits are available, or when they are inconclusive, and/or radiology staff is unavailable or untrained.

This product can be used for triaging as well as longer-term monitoring and early warning for future outbreaks. Because the solution will be operating on all CT chest scans and fully automated, once deployed in hospitals around Europe it will also serve as a case registry for management reporting and tracking of a new potential corona outbreak.

Call for proposal


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Net EU contribution
€ 1 910 125,00

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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

West-Nederland Noord-Holland Groot-Amsterdam
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Total cost
€ 2 728 750,00