Lethal cardiac arrhythmias are one of the deadliest conditions but are hard to predict and therefore prevent. But what if an artificial intelligence (AI) system could provide some much-needed help? A study published this month in Nature Cardiovascular Research is outlining an AI that has been trained on raw images of patients' hearts as well as patient backgrounds to predict if and when a patient could die of cardiac arrest. The AI is currently reported to be much more effective at this task than a doctor, detecting patterns in heart MRIs invisible to the naked eye. "Sudden cardiac death caused by arrhythmia accounts for as many as 20 percent of all deaths worldwide and we know little about why it's happening or how to tell who's at risk," told SciTechDaily senior author Natalia Trayanova, the Murray B. Sachs Professor of Biomedical Engineering and Medicine.