Karin Wildi

Training and validation of a 12-lead ECG-based deep-learning model for myocardial infarction subtypes

Abstract A convolutional neural network was developed to detect acute myocardial infarction (AMI) subtypes from digital 12-lead ECGs. Trained on 173,396 hospitalized patients’ ECGs, the model underwent fine-tuning and internal validation in 7591 patients and external validation i...