An electrocardiogram (ECG) from any medical device hardware is recorded. The ECG signal is analysed by AI algorithms in a secure cloud to triage or output a list of probable arrhythmias, risk scores and alerts. The results are delivered to the clinician, via email or integration with Electronic Medical Record (EMR) or cardiology information system.
- State-of-the-art algorithms
Algorithms identify over 80 cardiac patterns automatically at cardiologist-level accuracy in a multi-class scenario.
- Integrable with any EMR system
Our software is made available to customers via API and non-API tools, to ensure seamless bi-directional data exchange.
- Deep science and clinical expertise in cardiology
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.
- GDPR and ISO 27001 compliant for data privacy and security
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.