Research

Publications

Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram

Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction

ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction

Electrocardiogram-based machine learning for risk stratification of patients with suspected acute coronary syndrome

Clinical usability of deep learning-based saliency maps for occlusion myocardial infarction identification from the prehospital 12-Lead electrocardiogram

Novel ECG features and machine learning to optimize culprit lesion detection in patients with suspected acute coronary syndrome

In Search of an Optimal Subset of ECG Features to Augment the Diagnosis of Acute Coronary Syndrome at the Emergency Department