Surface ECG-Based Machine Learning Model for Predicting Patient Subgroup at a High Risk for Major Adverse Cardiac Events – JACC May 2021

ECG-derived machine-learning models provide a cost-effective strategy for predicting echocardiographically defined patients subgroups at a high-risk of MACE and may aid in optimizing intervention strategies.