Seattle scientist reduces length of MR with AI, wins competition

Seattle scientist reduces length of MR with AI, wins competition

Press releases may be edited for formatting or style | February 06, 2020 Artificial Intelligence MRI
DALLAS, Jan. 29, 2020 — Research to detect and predict blocked arteries and cardiovascular risk using knee MRI images has been recognized by the American Heart Association’s Institute for Precision Cardiovascular Medicine. Chun Yuan, Ph.D., Professor of Radiology and Bioengineering and Vice Chair for Global Affairs at the University of Washington (Seattle), conducted the winning research through the American Heart Association’s Precision Medicine Platform™, which is powered by Amazon Web Services (AWS). The American Heart Association, as part of its mission to be a relentless force for a world of longer, healthier lives, has collaborated with AWS to fund a competition for scientific research focused on using artificial intelligence and machine learning algorithms to improve understanding of data related to precision medicine, powered by innovative cloud technology.

Dr. Yuan, and his colleagues, used AWS service credits to leverage the power of cloud computing, open data and new tools for artificial intelligence and machine learning. Using the Precision Medicine Platform’s integrated data analytics workspace and research environment, Yuan was able to reduce the time required to read an MRI from four hours (by an expert) down to seven minutes (by a cloud-based data analysis computer program). With advanced deep learning techniques, the computer program is able to identify artery location, delineate vessel wall contours, quantify vascular features, and identify arteries with diseases from MR knee scans without any human interventions. Yuan’s work could ultimately help improve the speed with which various cardiovascular conditions are diagnosed, offer new opportunities in personalized medicine and improve quality of life for patients

Dr. Yuan’s data science grant from the American Heart Association Institute for Precision Cardiovascular Medicine provides $200,000 over two years as well as an additional $50,000 in AWS service credits (provided by AWS) for use on the Institute’s Precision Medicine Platform for computational time, use of AWS tools and infrastructure and data storage. As the winner of the award, Dr. Yuan receives $10,000 dollars in prize money from AWS and the Association’s Circulation: Genomic and Precision Medicine Journal.

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“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,” Dr. Yuan said “as well as using Artificial Intelligence to greatly shorten the time it takes to review these images.”

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