CardiacCloud AI's artificial intelligence ECG software automatically classifies every heartbeat, detects clinically critical arrhythmias, and delivers a structured arrhythmia analysis report—all in a fraction of the time required by manual review.
See AI ECG in Action
Most AI ECG software applies a single classification model trained on resting 12-lead data. CardiacCloud AI's arrhythmia analysis software uses a multi-stage deep learning pipeline trained on more than 10 million annotated ECG recordings from diverse patient populations. The result is an AI ECG software platform with proven clinical accuracy across resting ECG, Holter, patch monitor, and ambulatory telemetry modalities.
The arrhythmia analysis software detects atrial fibrillation (AF), atrial flutter, SVT, VT, ventricular fibrillation, junctional rhythms, bundle branch blocks, AV blocks, WPW patterns, ST-elevation, QT prolongation, and more—automatically flagged and ranked by clinical priority within the AI ECG software dashboard.
Our AI ECG software classifies every individual beat in a continuous recording rather than analysing just selected episodes. This approach eliminates the clinical risk of missed events between flagged segments that plagues threshold-based arrhythmia analysis software.
Atrial fibrillation burden—the percentage of time in AF over a recording period—is automatically calculated by the arrhythmia analysis software. Clinical studies show that AF burden correlates directly with stroke risk, making this a critical output of any AI ECG software platform.
Real-world ambulatory ECG recordings contain significant motion artefact and electrical noise. CardiacCloud AI's AI ECG software includes a dedicated signal quality module that identifies and excludes noisy segments from arrhythmia analysis, ensuring the physician only reviews clinically interpretable data.
Physician corrections and annotations within the platform feed a continuous learning pipeline. The arrhythmia analysis software improves over time as clinical experts validate AI findings, creating a feedback loop that increases accuracy across your specific patient population.
All AI ECG software algorithms deployed in clinical workflows are FDA 510(k)-cleared and CE-marked under MDR. The arrhythmia analysis software has been validated in independent clinical studies and is designed for use in regulated diagnostic environments.
CardiacCloud AI's arrhythmia analysis software has been independently validated against board-certified cardiologist interpretation:
These results position CardiacCloud AI as the most accurate cloud-native AI ECG software platform available for clinical cardiac diagnosis. Combine AI analysis with our Holter monitoring software and ECG management software for a fully integrated cardiac monitoring workflow.