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Artificial Intelligence can improve CT screening for COVID-19 diagnosis
Updated On: 11 August, 2020 03:08 PM IST | Mumbai | IANS
The research team is working to identify the visual features of coronavirus-related pneumonia through analysis of 3D data from CT scans

This picture has been used for representational purpose only
Researchers are developing a new technique using Artificial Intelligence (AI) that would improve CT screening to more quickly identify patients infected with COVID-19. The new technique will reduce the burden on the radiologists tasked with screening each image, according to a research team from the University of Notre Dame in the US.
Researchers are developing a new technique using #AI that would improve CT screening to more quickly identify patients infected with #COVID.
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The new technique will reduce the burden on radiologists tasked with screening each image, acc to a research team from Uni of Notre Dame. pic.twitter.com/d8xw71UC08
Testing challenges have led to an influx of patients hospitalised with COVID-19 requiring CT scans which have revealed visual signs of the disease, including ground-glass opacities, a condition that consists of abnormal lesions, presenting as a haziness on images of the lungs. "Most patients with coronavirus show signs of Covid-related pneumonia on a chest CT but with a large number of suspected cases, radiologists are working overtime to screen them all," said study lead author Yiyu Shi from the Notre Dame.
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