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Clinically validated AI-powered ECG analysis with 20 years of outcome data. Trusted by healthcare professionals and individuals worldwide.
Our research published in leading medical and scientific journals worldwide
An international study where AI predicts valvular heart diseases.
Identifying sex-related cardiovascular risk patterns using AI-enhanced ECG analysis.
Model development and validation study for predicting cardiovascular outcomes.
Clinical 12-lead ECG signals or images —AI-powered analysis in three simple steps
12-lead ECGs
Compatible with digital and image formats
AI Analysis in <10 seconds
Advanced algorithms process your ECG data instantly
Continuous Monitoring
Monitor trends and receive actionable health insights
Leading experts in cardiology, technology, and healthcare innovation
Leading publications covering our innovative approach to heart health
Delivering unparalleled accuracy in cardiovascular risk assessment with comprehensive validation across continents.
Comprehensive diagnostic accuracy across cardiovascular conditions with peer-reviewed validation and clinical evidence.
Complete Heart Block
Mortality Risk
Heart Failure
Validated across
4 continents
Validated across
5M+ ECGs
validated across
4 continents
and
5M+ ECGs
Aortic Stenosis
Left-ventricular Dysfunction
Tricuspid Regurgitation
Experience comprehensive clinical diagnostic models and accuracy metrics
Learn more about ECG technology and how AI can predict future cardiovascular disease.
An electrocardiogram (ECG) records the electrical activity of your heart. It detects the small electrical changes that occur with each heartbeat, creating a visual representation of your heart's rhythm and electrical impulses. This non-invasive test provides valuable insights into heart health, rhythm abnormalities, and potential cardiovascular conditions.
Yes, AI can detect subtle patterns in ECGs that may indicate future cardiovascular risks. Our AI models are trained on vast datasets with long-term patient outcomes, enabling them to identify early markers of conditions like atrial fibrillation, heart failure, and other cardiovascular diseases—often years before clinical symptoms appear. This predictive capability is supported by extensive peer-reviewed research and clinical validation.
Our AI models demonstrate strong performance across multiple cardiovascular conditions, with results published in top-tier medical journals including JAMA Cardiology, European Heart Journal, and The Lancet Digital Health.
CardioVolt.ai works with standard 12-lead ECG signals or images from clinical settings. Our platform supports various ECG file formats and image ECG data.
We have started our regulatory journey and are working towards clinical applications. Sign up for early access to get updated on our progress. Currently, CardioVolt.ai is not ready for clinical use.
Join healthcare professionals and individuals worldwide who trust Cardiovolt.ai for validated health insights.
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