Using machine learning to identify local cellular properties that support re-entrant activation in patient-specific models of atrial fibrillation

ConclusionIn a virtual patient cohort, local tissue properties, that can be measured (CV) or estimated (APD; using effective refractory period as a surrogate) clinically, identified regions of tissue that tether phase singularities. Combing CV and APD with atrial surface area further improved the accuracy in identifying regions that tether phase singularities.
Source: Europace - Category: Cardiology Source Type: research