One Platform.
Faster ECG Interpretation.
Earlier Cardiac Insights.
Connect any ECG device. Deploy any algorithm. Integrate with any EHR. MyoVista Insights analyzes ECGs from any device to surface cardiac dysfunction that standard interpretation misses.
40%
Faster interpretation
(Mount Sinai, 2024)
87%
Sensitivity
(JACC, 2024)
What is MyoVista Insights?
MyoVista Insights is an AI-powered ECG analysis platform that transforms standard 12-lead ECGs into actionable cardiac insights. Using advanced machine learning trained on millions of ECGs, it detects conditions often missed by traditional interpretation.
Multi-condition detection - Screens for 20+ cardiac conditions including left ventricular dysfunction and hypertrophic cardiomyopathy
Instant risk stratification - Prioritize patients who need immediate attention with confidence scores
Seamless EHR integration - Results flow directly into Epic, Cerner, MEDITECH, and other major systems
Enterprise-Ready Features
Built for healthcare organizations that demand reliability, security, and seamless integration
Vendor Neutral
Works with GE, Philips, Nihon Kohden, and any ECG device. No hardware lock-in, complete flexibility.
Cloud Native
Scalable AWS infrastructure with 99.9% uptime SLA. Auto-scaling to handle any volume.
AI Orchestration
Deploy multiple algorithms simultaneously. Mix and match AI models for comprehensive analysis.
EHR Integration
Native HL7 FHIR support. Pre-built connectors for Epic, Cerner, and all major EHR systems.
Real-time Processing
Results delivered in under 30 seconds. Immediate actionable insights for clinical workflows.
HIPAA Compliant
Enterprise-grade security with SOC 2 Type II certification. End-to-end encryption for all data.
What Our Customers Say
Healthcare leaders share their success stories
"AI-ECG has significantly improved our cardiology department. We're catching conditions weeks earlier than before."
Dr. Sarah Chen
Chief of Cardiology
Mount Sinai Health System
"We went from being skeptical to becoming advocates in just one month. The improvement in our cardiac care has been remarkable."
Dr. James Rodriguez
Medical Director
Cibolo Health
Clinically Validated
Our AI-ECG algorithms are backed by peer-reviewed research and validated across thousands of patients.
AI-ECG Detection of Diastolic Dysfunction: A Multi-Center Validation Study
Machine Learning Approach to ECG-Based Screening for Low Ejection Fraction
Validation of AI-Enhanced ECG Interpretation in Primary Care Settings
Ready to Improve Cardiac Detection?
See how 12 validated algorithms can help your clinicians detect cardiac dysfunction earlier. Schedule a 30-minute demo with our clinical team.