Enhancing tertiary cardiology triage with vectorcardiographic features: a machine learning approach using real-world data

VCG-derived features may improve the identification of patients requiring tertiary care, either alone or integrated into an explainable and robust machine learning model trained on real-world data. Its clinical value will ultimately depend on prospective validation and seamless integration within existing care pathways.