Clinical Evidence
Our AI algorithms are backed by rigorous clinical research and real-world validation studies.
15M+
ECGs analyzed in development
50+
Peer-reviewed publications
20+
Conditions detected
FDA
Cleared algorithms
Key Publications
Artificial Intelligence-Enabled ECG for Detection of Cardiac Dysfunction
Chen, S., Rodriguez, J., et al. · Nature Medicine · 2024
Validation of AI-ECG in Real-World Clinical Settings
Torres, M., Walsh, J., et al. · JAMA Cardiology · 2023
Cost-Effectiveness of AI-Assisted ECG Interpretation
Kim, R., Foster, A., et al. · Health Affairs · 2023
AI-ECG for Screening of Hypertrophic Cardiomyopathy
Chen, S., Patel, N., et al. · Circulation · 2024
Rigorous Validation Process
Every AI-ECG algorithm undergoes extensive validation before clinical deployment. Our process ensures safety, accuracy, and reliability.
Development Dataset
Training on millions of annotated ECGs with confirmed diagnoses
Internal Validation
Testing on held-out datasets with blinded evaluation
External Validation
Prospective studies at independent clinical sites
Regulatory Clearance
FDA 510(k) clearance for clinical use
Continuous Monitoring
Ongoing performance tracking and algorithm updates
Validation process diagram
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