A comprehensive AI-powered cardiac diagnostic platform that integrates with your existing EHR to deliver real-time ECG analysis, risk stratification, and clinical decision support.
CardioScan AI identifies a wide range of cardiac arrhythmias with clinical-grade accuracy, including atrial fibrillation, ventricular tachycardia, supraventricular tachycardia, AV blocks (first, second, and third degree), and bundle branch blocks.
Our deep-learning model was trained on over 2 million annotated ECG recordings, achieving performance that exceeds predicate device benchmarks in multi-center validation.
Real-time detection of STEMI and NSTEMI patterns enables faster triage and door-to-balloon times. The system analyzes ST-segment elevation and depression, T-wave inversions, and reciprocal changes across all 12 leads simultaneously.
Critical findings trigger automated alerts to the cardiology team, reducing time-to-treatment for acute coronary events.
CardioScan AI evaluates ECG morphology to identify signs of structural heart disease, including left and right ventricular hypertrophy, atrial enlargement, and pathological Q-waves suggesting prior myocardial infarction.
These findings are correlated with clinical context to generate a comprehensive cardiac risk profile for each patient.
Serial ECG comparison enables tracking of disease progression and treatment response over time. The prognostic risk scoring engine synthesizes current findings with historical data to identify patients at elevated risk of adverse cardiac events.
Automated alerts notify care teams when significant changes are detected between sequential ECG recordings.
From ECG upload to clinical result in under 30 seconds, enabling real-time decision support during patient encounters.
Standards-based interoperability ensures seamless data exchange with any FHIR-compliant electronic health record system.
Purpose-built deployment framework gets your team from contract to go-live in as few as six weeks, with dedicated implementation support.
Built on AWS with auto-scaling infrastructure, ensuring 99.9% uptime and the ability to handle peak clinical volumes.
CardioScan AI integrates with the EHR systems your team already uses.
Custom integrations available. Contact us for details.
Full HIPAA compliance with BAA execution, PHI encryption at rest and in transit, and comprehensive audit logging.
Completed SOC 2 Type I examination with Type II in progress. Independent third-party validation of our security controls.
Medical device quality management system certified to ISO 13485:2016, demonstrating our commitment to regulatory quality.
510(k) submission filed April 2025. CardioScan AI is classified as a Class II medical device — Under Review.