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New AI Algorithm Predicts Adverse Cardiovascular Events

New AI Algorithm Predicts Adverse Cardiovascular Events
Written by AZoRoboticsFeb 1 2021
The term coronary artery calcification refers to the accumulation of calcified plaque in the arterial walls of the heart. This condition is a crucial predictor of unfavorable cardiovascular events, including heart attacks.
Image Credit: Roman Zaiets/shutterstock
While computed tomography (CT) scans can help detect coronary calcium, measuring the amount of plaque needs time, dedicated equipment, and radiological know-how. While chest CT scans are quite common in practice, calcium score CTs are not.
Now, researchers from Brigham and Women’s Hospital’s Artificial Intelligence in Medicine (AIM) Program and the Cardiovascular Imaging Research Center (CIRC) at Massachusetts General Hospital have collaborated to design and assess a deep learning system that may help change this scenario. ....

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Novel deep learning system can predict cardiovascular risk from CT scans

Novel deep learning system can predict cardiovascular risk from CT scans
Coronary artery calcification the buildup of calcified plaque in the walls of the heart s arteries is an important predictor of adverse cardiovascular events like heart attacks. Coronary calcium can be detected by computed tomography (CT) scans, but quantifying the amount of plaque requires radiological expertise, time and specialized equipment.
In practice, even though chest CT scans are fairly common, calcium score CTs are not. Investigators from Brigham and Women s Hospital s Artificial Intelligence in Medicine (AIM) Program and the Massachusetts General Hospital s Cardiovascular Imaging Research Center (CIRC) teamed up to develop and evaluate a deep learning system that may help change this. ....

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