A new artificial intelligence-based approach using scans of patients’ hearts and their medical history can predict whether they will die from cardiac arrest, a study published Thursday by Nature Cardiovascular Research found.
The technology, called Survival Study of Cardiac Arrhythmia Risk, uses neural networks to build a personalized survival assessment for each patient with heart disease, the researchers said.
These risk measures provide with high accuracy their risk for a sudden cardiac death over the ensuing 10 years, and when it is most likely to happen, according to the researchers.
The name Survival Study of Cardiac Arrhythmia Risk is a reference to cardiac scarring caused by heart disease that often results in life-threatening arrhythmias, or irregular heartbeats, they said.
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