A common misperception exists that electrocardiograms (ECGs) simply contain data about heart activity. However, modern ECGs enhanced with artificial intelligence (AI) can reveal a patient’s sex, age, race, and even exact identity, raising fresh privacy concerns. To address this, researchers from the University of Kansas have developed a privacy-preserving AI model called PP-VAE that protects personally sensitive data while retaining clinically useful information.