HeartSciences transforms the standard ECG into a powerful cardiac screening tool through clinically validated AI algorithms published in JACC, ESC journals, and more.
Our AI-ECG algorithms are backed by rigorous peer-reviewed research published in the world's leading cardiology journals.
A quantitative prediction of myocardial relaxation can be performed using easily obtained clinical and ECG features. This cost-effective strategy may be a valuable first clinical step for assessing LV dysfunction.
Read PublicationHeartBEiT, a vision-based transformer model pre-trained on 8.5 million ECGs, significantly outperforms standard CNN architectures for cardiac diagnosis.
Read PublicationAI-driven study redefines right heart health assessment with novel predictive model using standard 12-lead ECG.
Read PublicationDeep-learning on the 12-lead ECG alone can accurately predict new-onset cardiomyopathy in patients with PVCs independent of PVC burden.
Read PublicationMulti-center retrospective cohort study applying deep learning to electrocardiograms for early detection of valvular heart disease.
Read PublicationWavelet-based ECG signal processing enables detection of diastolic dysfunction that was previously only detectable via echocardiography.
Read PublicationIndustry-leading library of AI algorithms transforming the standard ECG into a comprehensive cardiac screening tool.
Detection of reduced left ventricular ejection fraction, a key indicator of heart failure.
Identification of heart failure with preserved ejection fraction (HFpEF).
Early detection of diastolic dysfunction associated with hypertension, diabetes, and heart failure.
Cloud-based, hardware-agnostic platform delivering AI-ECG algorithms across millions of existing ECG devices worldwide. Seamless EHR integration enables AI-enhanced cardiac screening at scale.
Healthcare providers and research institutions worldwide rely on HeartSciences' AI-ECG technology.
"HeartSciences AI-ECG technology represents a significant advancement in early cardiac disease detection. The clinical validation through peer-reviewed publications gives us confidence in implementation."
"The depth of clinical evidence behind HeartSciences algorithms is unmatched. With 23 peer-reviewed publications, this is the most rigorously validated AI-ECG platform available."
"The cloud-based platform integrates seamlessly with our existing ECG infrastructure. We can now offer advanced cardiac screening without significant capital investment."
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Walk through our 23 peer-reviewed publications and clinical validation data.
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