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 PublicationOne Platform
Revolutionizing ECG Management
Cloud Native. Vendor Neutral. AI Enabled.
HeartSciences is a Healthcare IT company advancing the use of ECGs by integrating regulatory-compliant, third-party AI models with a secure, cloud-native platform.
23+
Peer-Reviewed Publications
50+
Healthcare Partners
12+
AI Algorithms
Published in Leading Journals
JACC
ESC Journals
npj Digital Medicine
European Heart Journal
Nature
What is MyoVista Insights?
MyoVista Insights is an AI-enabled ECG Management System that transforms standard 12-lead ECGs into actionable cardiac insights. Our AI-enabled ECG analysis detects conditions often missed by traditional interpretation.
Multi-condition screening - Screens for cardiac conditions including left ventricular dysfunction
Instant risk stratification - Prioritize patients who need immediate attention with confidence scores
Seamless EHR integration - Results flow directly into Epic with Epic Toolbox designation
Enterprise-Ready Features
Built for healthcare organizations that demand reliability, security, and seamless integration
Vendor Neutral
Works with 12-lead ECG devices from GE, Philips, Mortara, Cardioline, and other major manufacturers. No hardware lock-in, complete flexibility.
Cloud Native
Scalable AWS infrastructure with auto-scaling. Hosted on AWS for reliable, cloud-native performance.
AI Orchestration
Deploy multiple algorithms simultaneously. Mix and match AI models for comprehensive analysis.
EHR Integration
Epic integration with Epic Toolbox designation. HL7 FHIR support.
Real-time Processing
Results delivered in under 30 seconds. Immediate actionable insights for clinical workflows.
HIPAA Compliant
Enterprise-grade security with end-to-end encryption for all data.
The Challenge
Standard ECG interpretation cannot detect early-stage cardiac dysfunction, missing conditions that AI pattern recognition can identify.
- Diastolic dysfunction undetectable on standard ECGCirculation, 2022
- Low EF often missed until symptomaticEur Heart J, 2023
- Echo required for definitive diagnosisCost: $500-2,000 per study
HeartSciences Solution
Our algorithms detect cardiac dysfunction directly from ECG signals, identifying patients who need echocardiography before symptoms appear.
- 87% sensitivity for diastolic dysfunctionJACC: Heart Failure, 2024
- 91% sensitivity for low ejection fractionEur Heart J, 2023
- Works with any 12-lead ECG deviceVendor-neutral platform
What Clinicians Say
Healthcare professionals across the country trust HeartSciences for earlier detection and better patient outcomes.
"You've just solved the world's backlog problem."
Early Adopter
Cardiologist
"You had me at hello, but you really, you REALLY, had me with the comparisons."
Clinical Partner
Cardiologist
"Our GPs love it. They are still salivating over the caliper tool."
Clinical Partner
Primary Care Director
"And I loved the filters. This is moving towards my ECG Nirvana!"
Early Adopter
Cardiologist
"I really like this. What burns me the most is not having complete control of the filters. This prevents 80-year-old patients from being dragged across town to redo the ECG."
Clinical Partner
Cardiologist
"Regarding ECG Overlays. This is awesome. I don't think that anyone else has this feature!"
Early Adopter
Cardiologist
"There hasn't been a solution in the middle, between the AI-ECG and EHR, that pulls this all together. The problem with the other solutions are that they are all standalone."
Clinical Partner
Healthcare IT Director
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 Improve Cardiac Screening?
See how HeartSciences AI-ECG technology can help detect heart disease earlier in your practice or health system.