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‘Shot in the Dark’ Provides a Path Toward Collaborative Research That Better Predicts COVID-19 Severity
February 3, 2021 GMT
Sanmi Koejo, assistant professor of computer science, University of Illinois Urbana-Champaign
URBANA, Ill. - February 3, 2021 - ( Newswire.com )
A chance phone call between a physician and an artificial intelligence expert at University of Illinois Urbana-Champaign has led to a neural network tool that can read X-rays and better predict potential health complications from COVID-19 and other causes.
Dr. Ayis Pyrros said his call three years ago to David Forsyth, a professor of computer science at UIUC’s Grainger College of Engineering, was a “shot in the dark.”