A $7 Million Grant From the National Heart, Lung, and Blood Institute Will Help Smidt Heart Institute Scientists Create Tools to Predict Serious Cardiac Conditions.
A team from the Smidt Heart Institute and Division of Artificial Intelligence in Medicine at Cedars-Sinai will establish a new program to develop data tools that will help predict which patients could experience heart attacks, heart failure and other cardiac conditions, thanks to a $7 million Outstanding Investigator Award from the National Heart, Lung, and Blood Institute, part of the National Institutes of Health.
“Advanced imaging data could help predict patients’ risk of serious cardiac events, but is so complex that clinicians aren’t always able to use it,” said grant recipient Piotr Slomka, PhD, director of Innovation in Imaging and professor of Cardiology and Medicine in the Division of Artificial Intelligence in Medicine at Cedars-Sinai. “This grant will allow us to create artificial intelligence tools that help physicians everywhere identify high-risk patients who would benefit from targeted therapy.” Slomka plans to create tools that combine data from positron emission tomography and CT scans to give a clearer picture of patients’ cardiac risk, and to develop a large multicenter registry to collect the data needed to thoroughly test these tools. But the grant, a unique type known as an Outstanding Investigator Award, does not limit the team to one specific project, Slomka said.
More information can be found on: https://www.cedars-sinai.org/newsroom/nih-grant-will-fund-invention-of-new-ai-tools/