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Press release content from Newswire. The AP news staff was not involved in its creation. ‘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.”

United statesUniversity of illinoisAndrew chenAdam flandersDavid forsythAlexander schwingAyis pyrrosPatrick coleSanmi koyejoNasir siddiquiEngineering communicationsUniversity of illinois chicagoGrainger college of engineeringRadiographs utilizinga multipart neural network classifierRadiological society of north americaThomas jefferson university hospital