Willem is a powerful and scalable AI platform for cardiology¹

How Willem works

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

The ECG signal is analysed by AI algorithms in a secure cloud to triage or output a list of probable arrhythmias, risk scores and alerts.

The results are delivered to the clinician, via email or integration with Electronic Medical Record (EMR) or cardiology information system.

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 Nobel Prize winner, Willem Einthoven

Willem Einthoven, inventor of the electrocardiograph and Noble Prize winner

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 on atrial fibrillation, with the goal of creating multi-parametric digital tools based on a new generation of biomarkers integrating artificial intelligence and big data from imaging, electrocardiography and omics technologies.

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.