A Seattle-based radiology professor has scored a $250,000 award from Amazon and the American Heart Association for harnessing artificial intelligence to vastly speed up MRI read times.

Chun Yuan, PhD, and colleagues beat out the competition by utilizing cloud-computing tools and AI to detect and predict blocked arteries and cardiovascular risk through magnetic resonance knee scans. Their solution helped reduce the time to read an MRI from four hours by a human radiologist down to just seven minutes using a computer program, according to an AHA announcement.

The especially exciting thing about this research is that we are able to use our technology to detect diseased blood vessels in knee images that were not acquired with that in mind, as well as using artificial intelligence to greatly shorten the time it takes to review these images, Yuan, who teaches radiology and bioengineering at the University of Washington, said in a statement.

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Radiology expert notches $250K from Amazon, Heart Association for speedier MRI interpretation - Radiology Business