Deep learning-mediated prediction of concealed accessory pathway based on sinus rhythmic electrocardiograms.

Our study suggests that deep learning could be an effective way to predict concealed AP with normal sinus rhythmic ECG images. And our results might encourage people to rethink the possibility of training from random initialization on ECG image tasks.