Smartphone-based AI-enhanced ECG Detection of Left Ventricular Systolic Dysfunction in Chagas Disease: External Validation in a Resource-limited Setting

Highlights

• The artificial intelligence-enhanced electrocardiographic (AI-enhanced ECG) model achieved high sensitivity and negative predictive values for detecting left ventricular systolic dysfunction in Chagas disease patients using photographed paper-based ECGs.
• Model performance remained robust across ECGs of varying quality and in populations outside the training dataset.
• The smartphone-compatible AI-enhanced ECG offers a scalable, low-cost solution for the early detection of cardiac dysfunction in low-resource settings.