HeartBeam Announces New Peer-Reviewed Article Demonstrating Potential to Help Identify Heart Attack Risk at Home
HeartBeam published a peer-reviewed study in JACC: Advances demonstrating that its ECG device, combined with clinical risk factors, can accurately identify heart attack risk. The algorithm achieved an AUC of 86.5% using a single ECG reading and 92.9% when compared against a patient's baseline ECG, significantly outperforming physician panels in false-positive rates.
Key figures
- Auc single ecg
- 86.5%
- Study enrollment
- 212
- Auc with baseline
- 92.9%
- Study analysis count
- 184
- Target market patients us
- 20 million
- False positive rate algorithm
- 19.8%
- False positive rate physician
- 55.6%
AI analysis
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