For decades, electrocardiograms (ECGs) have been vital in diagnosing and treating heart disease. Yet, much of that data still exists only on paper as printouts, scans, or photographs, and remains inaccessible to modern AI systems. Today, you can help change that. In this competition, your challenge is to build models that convert ECG images into digital time-series data. By doing so, you’ll help bridge the gap between analog medical records and data-driven healthcare innovation.

Total Prizes:
$50,000

Entry Deadline: January 15, 2026

Your work could help unlock billions of historical ECG images, support improved cardiovascular care and expand access to critical health insights, particularly in areas where digital records are limited.