Students at Cranfield University have designed an artificial intelligence (AI) that can identify Covid-19 in X-ray images.
The AI is able to detect abnormalities in X-rays and classify which are positive for pneumonia, before a second model is used to diagnose if the pneumonia is caused by Covid-19. The students employed conventional machine learning algorithms alongside deep learning frameworks, which allow the computers to learn by example.
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Cranfield University lecturer in computational engineering Dr Zeeshan Rana, who led the research team, is now exploring collaboration opportunities with medical authorities and industry stakeholders to build on the project with more advanced AI algorithms and computed tomography scans.
Rana said: “The research carried out in this pilot project has led to some extremely promising results and we are looking to build on this success rapidly to help in the fight against Covid-19.”
