Idoven

Idoven – AI-powered Cardiovascular Care Platform is a cardiology-focused AI platform that augments clinicians’ ability to identify, triage, and diagnose cardiac conditions at scale. It combines deep neural networks with diverse ECG data to deliver rapid, physician-facing insights and supports integration with home monitoring and electronic health records (EHR).

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What it does

• Provides cardiology-as-a-service powered by AI to detect arrhythmias and cardiac patterns from ECG data collected across diverse devices (Holter, patch, 12-lead, implantables, wearables).
• Delivers rapid analyses and reports to aid triage, diagnosis, and treatment decisions at scale.
• Enables disease risk scoring and cardiovascular phenotype prediction using ECG-based biomarkers for preventive care and risk stratification.
• Supports preventative screening, remote patient monitoring, and real-world evidence (RWE) programs.
• Integrates with standard data formats and systems (EDF, HL7, DICOM, JSON, XML, PDF) and is device-neutral for bi-directional data exchange.
• Provides clinician-facing output designed for use alongside patient history, symptoms, and other diagnostics.

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How it works

• Leveraging annotated ECG databases (millions of hours, thousands of patients) to train models that detect multiple cardiac patterns and intervals.
• Ingests ECGs of varying duration from multiple device types and delivers results within minutes.
• Uses cloud-based infrastructure with strict security and privacy measures (ISO certifications, GDPR compliance, NIST-aligned controls) to ensure data protection.
• Interoperates with home monitoring devices and hospital EHR systems for streamlined triage and diagnosis.

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Solutions & Focus Areas

• MedTech and Life Sciences applications
• Digital diagnostics and cloud technology
• Remote screening and at-point-of-care analytics
• Predictive modeling for cardiotoxicity and risk stratification
• Comprehensive preventative screening programs

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Safety & Compliance

• Medical device-grade software used to assist clinicians; not a sole diagnostic tool.
• Quality, safety, and regulatory considerations include ISO certifications and GDPR compliance.
• Data processing is designed to augment physician decision-making, not replace clinical judgment.

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Core Features

• AI-powered ECG analysis platform (Willem) capable of 22 cardiac pattern detections and 4 interval measurements across various device types
• Cardiology-as-a-Service to augment clinicians at scale
• Device-neutral interoperability with API and non-API tools
• Rapid processing with minutes-to-days configurable analyses
• Integration-ready with Home Monitoring and EHR systems
• Predictive models for cardiovascular risk and cardiotoxicity
• Large-scale dataset training with diverse ECG databases
• Regulatory and privacy-compliant infrastructure (ISO, GDPR, HIPAA-like considerations)