Curated News
By: NewsRamp Editorial Staff
June 02, 2026
HeartBeam Algorithm Shows 92.9% Accuracy in Heart Attack Detection
TLDR
- HeartBeam's ECG algorithm achieves 86.5% AUC for heart attack risk, boosting its competitive edge in cardiac diagnostics.
- The algorithm uses a single HeartBeam ECG reading plus patient factors, improving to 92.9% AUC with a personal baseline ECG.
- Credit card-sized HeartBeam device enables early heart attack detection, potentially saving lives through portable cardiac insights.
- HeartBeam's ECG algorithm can identify heart attack risk with 92.9% accuracy when a symptom-free baseline is available.
Impact - Why it Matters
This news matters because it highlights a significant advancement in portable cardiac diagnostics. The HeartBeam device, which is credit card-sized and cable-free, could revolutionize how heart attacks are detected early, especially in patients presenting with chest pain. For healthcare providers, this means potentially faster and more accurate triage in emergency settings. For patients, it offers the convenience of at-home monitoring and the peace of mind that a simple, non-invasive device can help assess heart attack risk. With FDA clearance already obtained for arrhythmia assessment, this technology is moving closer to widespread clinical use, potentially reducing delays in critical cardiac care and improving outcomes.
Summary
HeartBeam (NASDAQ: BEAT), a medical technology company focused on transforming cardiac care, announced a breakthrough in heart attack detection. A peer-reviewed article in JACC: Advances demonstrated that a risk prediction algorithm incorporating the credit card-sized HeartBeam ECG device can accurately identify heart attack risk in patients presenting with chest pain. The proof-of-concept study, which evaluated 184 patients, found that the algorithm achieved an “area under the curve” (“AUC”) of 86.5% using a single HeartBeam ECG reading combined with patient risk factors and symptoms. Notably, when a personal, symptom-free baseline ECG was available for comparison, the AUC rose to 92.9%. This research supports heart attack detection as a future indication for the HeartBeam System and advances its broader clinical program.
HeartBeam is creating the first-ever cable-free device capable of collecting ECG signals in 3D from three non-coplanar directions, synthesizing them into a 12-lead ECG. This platform technology is designed for portable devices that can be used wherever the patient is to deliver actionable heart intelligence. Physicians will be able to identify cardiac health trends and acute conditions and direct patients to appropriate care outside of a medical facility, redefining cardiac health management. The company holds over 20 issued patents and received FDA clearance for arrhythmia assessment in December 2024 and for the 12-lead ECG synthesis software in December 2025. For more details, visit the HeartBeam (NASDAQ: BEAT) page on InvestorBrandNetwork.
The news was disseminated by AINewsWire, a specialized communications platform focusing on AI advancements. AINewsWire is part of the Dynamic Brand Portfolio @ IBN, which provides access to a vast network of wire solutions via InvestorWire, article and editorial syndication to 5,000+ outlets, enhanced press release distribution, and social media reach to millions of followers. To view the full press release, visit https://ibn.fm/ainxV.
Source Statement
This curated news summary relied on content disributed by InvestorBrandNetwork (IBN). Read the original source here, HeartBeam Algorithm Shows 92.9% Accuracy in Heart Attack Detection
