CardioScan AI analyzes 12-lead ECGs in under 30 seconds, helping clinicians identify cardiac abnormalities earlier — when intervention matters most.
CardioScan AI integrates seamlessly into your existing clinical workflow.
Standard 12-lead ECG data flows directly from your EHR via HL7 FHIR integration.
Our ML model processes the signal in under 30 seconds, detecting arrhythmias, ischemic patterns, and structural changes.
A clinician-friendly risk score and detailed analysis appear directly in the patient’s electronic health record.
Four core capabilities powered by a single, unified AI engine.
Identifies AFib, VT, SVT, AV blocks, and bundle branch blocks with high sensitivity and specificity.
Detects STEMI and NSTEMI patterns, ST-segment changes, and T-wave abnormalities for rapid triage.
Evaluates left and right ventricular hypertrophy, chamber enlargement, and conduction abnormalities.
Compares serial ECGs over time to track progression and generate prognostic risk scores.
“CardioScan AI has fundamentally changed how our cardiology team triages incoming ECGs. The speed and accuracy of the analysis allow us to focus our attention where it matters most — on the patients who need immediate intervention.”Dr. Elena Vasquez, Principal Investigator