AI Predicting Sudden Cardiac Death Before Symptoms: Future of Preventive Cardiology
Discover how AI predicts sudden cardiac death using ECG, MRI, and EHR data, plus the latest research, accuracy, and clinical progress. Sudden cardiac death (SCD) is unexpected death due to an arrhythmia that occurs without an apparent cause of death in most people with no previous heart disease. Only a small proportion of people at risk can be identified by traditional screening, which currently mostly relies on low left-ventricular ejection fraction (LVEF). Artificial intelligence (AI) techniques have yielded some interesting results in the last few years in discovering potential clues to SCD in routine data. These researchers have trained deep learning models on vast amounts of data consisting of 12-lead electrocardiograms (ECGs), imaging (MRI/echo), electronic health records (EHR), and even multimodal data (which combines these sources of information) to make predictions about whether ostensibly healthy patients carry lethal arrhythmic risk. Key studies (2020-2026) showed that AI mo...