Cardio Explorer® uses an AI-enhanced algorithm to assess each patient’s clinical likelihood of obstructive coronary artery disease by analyzing blood biomarkers, ECG data, symptoms, and clinical risk factors.
The result supports clinical decision-making by indicating whether further cardiac evaluation is warranted.
Patient data can be entered manually or seamlessly synced through our API for automated analysis.
Cardio Explorer helps standardize care by embedding evidence-based guidelines directly into your diagnostic workflow.
Variability in early CCS workup can delay diagnosis or lead to overtesting. Cardio Explorer aligns with clinical guidelines to ensure consistent, high-quality care — every time.
All algorithms achieve an NPV above 95%; Cardio Explorer combines this with superior diagnostic accuracy (AUC 87%) and high sensitivity at a low false positive rate. Among available algorithms, Cardio Explorer is uniquely suited to support screening for chronic coronary syndrome.
The appropriate rule-out threshold or probability depends on an algorithm’s accuracy. Cardio Explorer achieves a negative predictive value (NPV) greater than 95% at a threshold of 15%, whereas the ESC 2024 algorithm only reaches the required rule-out accuracy at a threshold of 5%.
