JAHA2024
Quantitative Prediction of Right Ventricular Size and Function From the ECG
AI-driven study redefines right heart health assessment with novel predictive model using standard 12-lead ECG.
Read PublicationClinical Evidence
Advancing the understanding of heart disease detection through rigorous research and peer-reviewed publications.
Bridging the Diagnostic Gap
Asymptomatic Patients
Most patients with heart disease are asymptomatic until advanced stages.
Limited Technology
Physicians have limited front-line technology options to detect heart disease.
Expensive Diagnostics
Most advanced screening tests are expensive and require specialist referral.
Payor Restrictions
Payors often discourage advanced screening for asymptomatic patients.
23+
Peer-Reviewed Publications
50+
Healthcare Partners
5+
Leading Research Partners
Research Partners
Icahn Mount Sinai
License agreements for AI cardiovascular algorithms developed by leading research institutions.
Rutgers University
Multi-year collaboration to develop AI-based ECG algorithms for cardiac detection.
Baker Institute
Clinical studies validating ECG-based detection of left ventricular dysfunction.
Featured Publications
Our AI-ECG algorithms are backed by rigorous peer-reviewed research published in the world's leading cardiology journals.
npj Digital Medicine2023
A Foundational Vision Transformer Improves Diagnostic Performance for Electrocardiograms
HeartBEiT, a vision-based transformer model, significantly outperforms standard CNN architectures for cardiac analysis.
Read PublicationJTCVS2023
Deep Learning ECG Analysis Improves Risk Stratification for Cardiac Surgery
AI-ECG models demonstrate improved prediction of adverse outcomes in patients undergoing cardiac surgery.
Read PublicationReady to Enhance Your Cardiac Screening?
Request a demo to see how HeartSciences AI-ECG technology can enhance early detection of heart disease in your practice or health system.
Clinical Evidence Review
Walk through our 23 peer-reviewed publications and clinical validation data.
Platform Demonstration
See the MyoVista Insights cloud platform and device integration in action.
Implementation Planning
Discuss integration with your clinical workflows and EHR systems.