Advancing the Understanding of Heart Disease Detection
Providing new insights into the causes and mechanisms underlying heart diseases through original research and published findings.
Bridging the Diagnostic Gap in Heart Disease
- Most patients with heart disease are asymptomatic.
- Physicians have limited front-line technology options to detect heart disease.
- Most advanced diagnostic tests are expensive and require referral.
- Payors often discourage advanced diagnostics for asymptomatic patients.
Clinical Publications
Publications Demonstrates Potential for ECG screening for LV dysfunction in asymptomatic patients with ejection fraction > 40%SOUTHLAKE, Texas, June 28, 2021 – HeartSciences, a medical device company focused on advancing…
Publications To identify whether machine learning from the processing of continuous wave transforms (CWTs) to provide an “energy waveform” electrocardiogram (ewECG) could be integrated with the echocardiographic assessment of subclinical…
Publications ECG-derived machine-learning models provide a cost-effective strategy for predicting echocardiographically defined patients subgroups at a high-risk of MACE and may aid in optimizing intervention strategies. Link to article SURFACE…
Publications The study demonstrates MyoVista® wavECG™ ability to predict abnormal Calcium Score Heart disease is a global pandemic affecting at least 26 million people worldwide and continues to increase in…
Certifications
Reg. US Pat. & TM off.
All Rights Reserved.
Powered by Collective42
HeartSciences’ AI-ECG products are currently in development and not commercially available in the United States.
wavECG and wavEKG are trademarks of HeartSciences.
MV-WBSTE-002 Rev A