Publications
Our world-class research has a real impact on the world and show the latest advances in the field of cardiology and machine learning.
We are published in peer-reviewed journals, such as Nature, Heart, European Heart Journal, Circulation and Europace.
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Atrial Fibrillation
Cardiology
Enhanced detection of atrial fibrillation in single-lead electrocardiograms using a Cloud-based artificial intelligence platform
2025. The study assessed the performance of WillemTM, Idoven’s CE-marked AI ECG analysis platform in detecting atrial fibrillation from single-lead handheld ECG recordings. It aimed to demonstrate the platform’s reliability and scalability for large-scale AF screening in real-world settings.
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Cardiology
Novel systematic processing of cardiac magnetic resonance imaging identifies target regions associated with infarct-related ventricular tachycardia
2024. To develop and validate a novel cardiac magnetic resonance imaging (MRI) processing strategy that identifies key regions responsible for complex ventricular tachycardias (VT), particularly in post-myocardial infarction patients, facilitating more accurate and bias-free preoperative planning for VT ablation procedures.
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Cardiology
Artificial intelligence
Rationale and design of the artificial intelligence scalable solution for acute myocardial infarction (ASSIST) study
2024. Retrospective observational study aiming to improve the ECG-assisted assessment of ACS patients in the acute setting by incorporating an artificial intelligence platform, Willem™ to analyze 12‑lead ECGs.
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Arrhythmias
Artificial intelligence
AI-based heart monitoring: the FIFPRO player pilot study
2024. To demonstrate the feasibility of a global standardized heart screening program for professional footballers by leveraging an artificial intelligence platform to efficiently identify cardiac patterns from Holter’s records.
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Artificial intelligence
ICMs
Arrhythmias
Cardiology
Artificial intelligence cloud platform improves arrhythmia detection from insertable cardiac monitors to 25 cardiac rhythm patterns through multi-label classification
2023. To demonstrate whether an AI algorithm can expand ICM arrhythmia recognition from 4 to many cardiac patterns.
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Artificial intelligence
Cardiology
Arrhythmias
Other diseases
Current and Future Use of Artificial Intelligence in Electrocardiography
2023. Review of current and future applications of AI in electrocardiography to assist physicians in the diagnosis, stratification and management of arrhythmias or other cardiac disorders.
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