Machine learning differentiates right posterior from right anterior accessory pathways using 6-lead electrocardiograms in dogs with ventricular preexcitation.

Objective: To develop a machine learning (ML) model to identify fiducial points on canine ECGs to localize right-sided accessory pathways as posterior or anterior during ventricular preexcitation (VPE). Methods: ECG recordings with VPE and documented…

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