Willem is a powerful and scalable AI platform for cardiology

How Willem works

Step 01

An electrocardiogram (ECG) from any medical device hardware is recorded

ECG analysis is requested through Willem's API

At hospital or remote

Step 02

The ECG signal is securely transmitted to Willem's cloud-based platform for analysis using AI algorithms

Willem ingests data from standard and proprietary formats:

Step 03

An ECG analysis with cardiologist-level accuracy is available in minutes

Results are validated by a cardiologist within Idoven’s network, if necessary.

Step 04

An electronic report is directly sent to the physician based on clinical urgency and relevance

Access to ECG analysis results is available via email, integration with EMR or CVIS systems, or through Idoven’s results portal.

Supported by leading organisations

Our platform consists of 6 capabilities

State-of-the-art algorithms

Algorithms identify 22 cardiac patterns automatically at cardiologist-level accuracy in a multi-class scenario.

Device neutral

Algorithms analyse ECG data from any-lead wearable, mobile and implantable device.²

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.

Certified in accordance to the EU Medical Device Regulation (EU MDR)

Secure cloud infrastructure is compliant with internationally accepted standards to safeguard patient data. Certified according to the Regulation (EU) 2017/745 on Medical Devices for the assessment of arrhythmias by qualified healthcare professionals using ECG data from various ECG recording device types:

Standard diagnostic resting ECG devices (12-lead)
Ambulatory ECG devices, including holter and patch (1 and 2-lead)
Insertable Cardiac Monitors (ICM)

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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.

Prediction capabilities

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.

Willem^TMis your Digital Cardiologist in the Cloud, in honour of the father of the electrocardiograph and Noble Prize winner, Willem Einthoven

First-in-class collaborations with top research institutions and KOLs

Idoven is a member of the pan-European MAESTRIA (Machine Learning Artificial Intelligence Early Detection Stroke) consortium to build the largest and most diverse database ever built.

Partner with Idoven

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¹ The Willem™ ECG Analysis Platform interpretation results are not intended to be the sole means of diagnosis. It is offered to physicians and clinicians on an advisory basis only in conjunction with the physician’s knowledge of ECG patterns, patient background, clinical history, symptoms, and other diagnostic information.
² Standard diagnostic resting ECG devices (12-lead); ambulatory ECG devices, including holter and patch (1 and 2-lead); and Insertable Cardiac Monitors.