ECG AI analytics

AI ECG analytics for long-term cardiac diagnostics

Cardio.AI helps clinics process long ECG recordings faster while keeping cardiologists and ECG technicians in control of final interpretation.

Built for clinical ECG workflows, not wellness screening

Cardio.AI analyzes ECG data from legally marketed medical devices and supports extended recordings up to 35 days. The platform highlights rhythm and beat abnormalities, prepares clinician-ready evidence, and gives teams a structured way to validate results instead of manually searching through hours of signal.

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What the platform detects

The system is designed around medical ECG review where every finding needs context, traceability, and specialist validation.

  • 80+ beat and rhythm abnormality classes
  • Atrial, ventricular, conduction, ST, QT and HRV-related findings
  • Noise separation and signal-quality support for long recordings

Why clinics use ECG AI

AI pre-processing reduces repetitive manual work and helps specialists focus on uncertain, clinically meaningful fragments.

  • Faster first-pass ECG annotation
  • Consistent review workflow for technicians and cardiologists
  • Cloud access to strips, statistics, and patient reports

Best-fit use cases

01

Holter laboratories that process growing ECG volume

02

Clinics launching remote cardiac monitoring services

03

Research teams collecting long-term ECG evidence

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