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Phenotypic Selectivity of Artificial Intelligence-enhanced Electrocardiography

Circulation (Accepted)

This repository contains the core scripts, figures, and statistical analyses for the manuscript:

Phenotypic Selectivity of Artificial Intelligence-enhanced Electrocardiography in Cardiovascular Diagnosis and Risk Prediction
Croon et al., Circulation, 2025 (Accepted)

📄 Overview

This study evaluates the diagnostic breadth and specificity of AI-enhanced ECG models across thousands of clinical phenotypes using a phenome-wide association study (PheWAS) framework.

The repository includes:

  • 🔬 Statistical analyses
  • 📊 Figure generation