According to the Sudden Cardiac Arrest Foundation, “An algorithm built to assess scar patterns in patient heart tissue can predict potentially life-threatening arrhythmias more accurately than doctors can.”
A new artificial-intelligence-based process can help doctors predict if and when a patient could die of cardiac arrest. The technology is built on raw images of a patient’s diseased heart and background. This technology can significantly impact a doctor’s ability to predict future heart attacks in at-risk patients. This new technology stands to revolutionize the decision-making process and increase overall survival from sudden and lethal cardiac arrhythmias. An arrhythmia is one of medicine’s deadliest and most complex conditions.
SOURCE: Jill Rosen, Johns Hopkins University and the Sudden Cardia Arrest Foundation
