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Overview
Idoven is an extensive artificial intelligence platform that delivers CE-marked cardiology-grade ECG interpretation with high accuracy. While the platform’s initial setup may require effort, it provides rapid cloud-based analyses in minutes, scalable infrastructure, and predictive ECG models for early risk stratification.
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Starting Price
Custom
Idoven Specifications
Predictive Capabilities
Automation
Multi-Language Support
Natural Language Dialogue
What Is Idoven?
Idoven software is a cloud-based artificial intelligence platform that analyzes ECG signals from wearables, Holter, implantable, and 12-lead devices and returns clinician-grade reports in minutes. It detects 22 cardiac patterns and four ECG intervals automatically with CE-marked Willem and supports standard formats like ‘JSON’, ‘HL7’, ‘DICOM’, ‘EDF’, ‘XML’, and ‘PDF’. The platform enables bi-directional data exchange, operates on a secure cloud with ISO certifications and GDPR compliance, and provides predictive ECG models for scalable clinical deployment worldwide.
Idoven Pricing
Idoven Integrations
Who Is Idoven For?
Idoven is suitable for the following businesses:
- Medtech companies
- Life sciences and pharmaceutical organizations
- Preventative screening programs
- Clinics
Is Idoven Right For You?
Idoven software is a comprehensive artificial intelligence system suitable for businesses aiming to improve cardiac screening, triage, and diagnostic throughput across clinical and remote settings. It delivers rapid, cardiologist-level ECG interpretation, supports multi-device inputs and standard data formats, and issues clinician-ready reports minutes after acquisition.
Still not sure if Idoven is right for you? Contact our customer helpline at (661) 384-7070 for further guidance.
Idoven Features
Idoven automatically identify 22 cardiac patterns with cardiologist-level accuracy across diverse ECG data inputs. These algorithms also reduce false positives in implantable cardiac monitors by up to 98%, improving clinical outcomes.
The software analyses ECG signals from wearables, mobile devices, Holters, patches, ambulatory, and implantable devices regardless of manufacturer. This neutrality allows consistent AI analysis across resting, implanted, and remote monitoring devices.
The system combines deep science and clinical expertise with more than a decade of cardiology data pipeline development and over 30 publications in leading journals. It partners with international institutions in large projects such as ‘MAESTRIA’ for cardiovascular detection and prevention.
The platform includes developing ECG-based models that forecast the risk of developing persistent atrial fibrillation within six months. It builds prognostic biomarkers to evaluate drug cardiotoxicity, patient risk, and treatment response in clinical trials and real-world evidence programs.
