New AI Tool ECG-CLIP Detects Heart Disease Rapidly

Scripps Research scientists developed ECG-CLIP, an AI foundation model trained on 1.7 million ECGs from 540,000 people, capable of detecting heart diseases with minimal labeled training data.

The tool outperformed standard models in identifying acute myocardial infarction, cardiac amyloidosis, and hypertrophic cardiomyopathy, while using 91% less hand-labeled data than traditional deep learning approaches.

ECG-CLIP also predicts future atrial fibrillation and 30-day survival outcomes, offering clinicians a more adaptable diagnostic tool for settings with limited resources or rare disease cases.