Idoven is a cardiology-as-a-service platform that uses artificial intelligence to help clinicians identify, triage, and diagnose cardiac conditions at scale. It offers a certified ECG analysis platform, Willem™, which automatically detects 22 cardiac patterns and 4 intervals from various ECG devices, including ambulatory, resting 12-lead, and insertable cardiac monitors. The platform supports multiple use cases: rapid diagnostic interpretation for MedTech, digital biomarker-based risk stratification for life sciences, and remote monitoring for preventative screening programs.
Key Features
- Trained on one of the largest annotated ECG databases with over 1.8 million hours of data from 28,500+ clinical trial subjects.
- CE marked Class IIa medical device under EU MDR, with detection of arrhythmias and cardiac patterns.
- Device neutral: works with ECGs, holters, patches, implantables, and wearables compliant with IEC standards.
- Cloud-based infrastructure with ISO 27001, 27017, 27018, 27701, and GDPR compliance.
- Integrates with Home Monitoring and EHR systems via API and non-API tools, supporting standard formats (EDF, HL7, DICOM, JSON, XML, PDF).
Who It’s For
- MedTech companies seeking automated, vendor-neutral ECG interpretation.
- Life sciences organizations needing digital biomarkers for prediction, cardiotoxicity monitoring, and patient stratification.
- Healthcare providers and payers running large-scale screening and employee wellness programs.
- Pharmaceutical companies requiring pre-initiation ECG testing and cardiac safety monitoring.
Workflow
- Upload ECG data from any supported device or format.
- The AI model analyzes the recording and returns results in minutes, regardless of duration (30 seconds to 30 days).
- Clinicians review the advisory report alongside patient history and other information.
Requirements
- ECG data compliant with IEC 60601-2-25, IEC 60601-2-27, or IEC 60601-2-47.
- Secure cloud access with appropriate authentication.
