Nature Communications (May 2016)
Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models
Abstract
Sudden arrhythmic death is a leading cause of mortality, however approaches to identify at-risk patients are of low sensitivity and specificity. Here, the authors develop a personalized approach to assess arrhythmia risk in post-infarction patients based on cardiac imaging and computational modelling that significantly outperforms existing clinical metrics.