Deep learning detects myocardial infarction with high accuracy from ECG data.
problem Detecting myocardial infarction from electrocardiogram data.
method Adapted ConvNetQuake model to analyze 15 ECG leads, focusing on v6, vz, and ii leads.
result Achieved cardiologist-level performance in detecting myocardial infarction.