Algorithms identify over 80 cardiac patterns automatically at cardiologist-level accuracy in a multi-class scenario.
Our software is made available to customers via API and non-API tools, to ensure seamless bi-directional data exchange.
The Idoven team has over 10 years building data pipelines in the field of cardiology that have led to state-of-the-art scientific publications, with over 30 published in high-impact factor journals.
Algorithms analyse ECG data from any-lead wearable, mobile and implantable device.
Secure cloud infrastructure is compliant with internationally accepted standards to safeguard patient data.
The Idoven team develops predictive ECG-based AI models as prognostic tools. Our first model identifies patients that are at increased risk of developing persistent atrial fibrillation within the next 6 months, with a paper published in Europace, one of the highest-impact factor journals in the arrhythmia field.