Idoven

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

1. Upload ECG data from any supported device or format.
2. The AI model analyzes the recording and returns results in minutes, regardless of duration (30 seconds to 30 days).
3. 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.

Outputs

• Automated detection of 22 cardiac patterns (e.g., atrial fibrillation, bradycardia, tachycardia) and interval measurements.
• Standardized reports for clinical review and integration into EHR systems.