LabelCore.AI
LabelCore.ai
Cardiac imaging with AI annotation and ECG waveform
Cardiology Annotation

Cardiology Annotation by Board-Certified Cardiologists

ECG rhythm classification, echocardiography segmentation, cardiac MRI analysis, and wearable data annotation. Every label from a credentialed cardiologist.

Data Types We Annotate

ECG/EKG

Rhythm classification (NSR, AFib, VT, SVT), ST-segment analysis, QT interval measurement

Echocardiography

Chamber segmentation, ejection fraction estimation, valve assessment, wall motion scoring

Cardiac MRI

Myocardial segmentation, scar detection, perfusion analysis, T1/T2 mapping annotation

Cardiac CT

Coronary artery calcium scoring, stenosis grading, plaque characterization

Holter Monitoring

24-48hr continuous rhythm analysis, arrhythmia event classification, heart rate variability

Wearable Data

Apple Watch, AliveCor, Withings ECG signals, continuous heart rate classification

Annotation Types

Our cardiologists and electrophysiologists deliver annotation types optimized for cardiac AI model development:

  • ✓ Rhythm classification: multi-class labeling of ECG strips for arrhythmia detection models (NSR, AFib, VT, SVT, heart blocks, and 30+ rhythm categories)
  • ✓ Waveform segmentation: P-wave, QRS complex, T-wave, and U-wave boundary delineation for signal processing algorithms
  • ✓ Interval measurement: PR, QRS, QT, and RR interval annotation with precise onset/offset marking for automated measurement systems
  • ✓ Chamber boundary segmentation: frame-by-frame delineation of LV, RV, LA, and RA boundaries on echocardiography for volumetric analysis AI
  • ✓ Wall motion scoring: 17-segment model annotation with normal, hypokinetic, akinetic, and dyskinetic classifications per segment
  • ✓ Ejection fraction labels: quantitative EF estimation and categorical grading (normal, mild, moderate, severe dysfunction) for automated assessment

Why LabelCore for Cardiology

Cardiac data annotation requires deep clinical expertise. ECG rhythm classification depends on pattern recognition skills developed over thousands of clinical reads. Echocardiography segmentation demands understanding of cardiac anatomy across acoustic windows and imaging planes. LabelCore.AI matches each project to the right cardiologist: electrophysiologists for rhythm data, cardiac imaging specialists for echo and MRI, interventional cardiologists for coronary CT.

The explosion of wearable cardiac monitoring has created massive demand for annotated ECG training data. Consumer devices like Apple Watch and AliveCor generate single-lead ECG signals that differ significantly from clinical 12-lead recordings. Our cardiologists are experienced with both formats and understand the unique noise characteristics, lead configurations, and diagnostic limitations of wearable signals.

Every annotation includes the annotating physician's credentials, clinical reasoning documentation, and confidence scoring. For Gold Standard projects, multi-cardiologist consensus with adjudication provides the ground truth quality required for regulatory-grade cardiac AI development.

Quality Tiers for Cardiology

TierAccuracyMethodBest For
Gold Standard99%Multi-cardiologist consensusFDA submissions, clinical validation
Hybrid93%AI pre-label + cardiologist validationModel training, algorithm R&D
Ready Datasets85%Pre-labeled, instant downloadResearch, proof of concept

Frequently Asked Questions

What ECG rhythms can your cardiologists classify?+
Our cardiologists classify the full spectrum of cardiac rhythms including normal sinus rhythm (NSR), atrial fibrillation (AFib), atrial flutter (AFlutter), supraventricular tachycardia (SVT), ventricular tachycardia (VT), ventricular fibrillation (VF), first/second/third-degree heart blocks, bundle branch blocks, premature atrial and ventricular complexes, and paced rhythms.
Do you support wearable ECG data?+
Yes. LabelCore.AI annotates ECG data from all major wearable platforms including Apple Watch, AliveCor KardiaMobile, Withings ScanWatch, Samsung Galaxy Watch, and custom wearable devices. We handle single-lead, multi-lead, and continuous monitoring formats with rhythm classification, event detection, and signal quality assessment.
What echocardiography annotation capabilities do you offer?+
Our cardiac imaging specialists provide chamber segmentation (LV, RV, LA, RA), ejection fraction estimation, valve assessment (mitral, aortic, tricuspid, pulmonic), wall motion scoring (17-segment model), strain analysis annotation, Doppler flow measurement labeling, and pericardial effusion quantification across all standard echo views.
How accurate are cardiology annotations?+
Our Gold Standard tier delivers 99% accuracy through multi-cardiologist consensus with complete audit trails. ECG rhythm classification is validated by board-certified electrophysiologists. Echocardiography annotations are reviewed by cardiac imaging fellowship-trained cardiologists. All annotations include inter-annotator agreement metrics.
Can annotations be used for FDA-cleared cardiac AI?+
Yes. Gold Standard cardiology annotations include full clinical documentation, physician credentials, provenance chains, and inter-annotator agreement metrics required for FDA 510(k) and De Novo submissions. Our annotations have supported multiple successful cardiac AI regulatory filings including ECG interpretation and echo analysis devices.

Start Your Cardiology Annotation Project

Tell us your data type, volume, and clinical requirements. We match you with subspecialty cardiologists within 48 hours.

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