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Professor Ruben Casado Arroyo

ULB, Brussels (Belgium)
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Biography
Ruben Casado Arroyo is Professor of Medicine and Director, Cardiac Electrophysiology Laboratory, Université Libre de Bruxelles- Erasme Hospital (Brussels, Belgium). He holds a MSc Health Economics, Policy and Management at London School of Economics and Political Science (UK). His areas of interest are Cardiac arrhythmias (atrial fibrillation, atrial flutter, atrial tachycardia, ventricular tachycardia, ventricular fibrillation, Brugada syndrome, Long QT). Devices (Pacemakers, defibrillators). Coronary Care (Myocardial infarction, cardiac ischemia). Intensive Care Medicine. Computer methods in cardiovascular image processing, computational knowledge discovery, artificial intelligence, intelligent data analysis, bio-signal processing, signal modelling, predictive models development, e-health and mobile applications, and communications within and between hospitals.
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Contributor content

Atrial arrhythmias ablation with the pentaslpine catheter
Session
Atrial arrhythmias ablation with the pentaslpine catheter
14 April 2026
Complex device implantations
Session
Complex device implantations
13 April 2026
Recurrences post atrial fibrillation ablation
Session
Recurrences post atrial fibrillation ablation
13 April 2026
Telemedicine and remote monitoring in cardiovascular and chronic disease management
Session
Telemedicine and remote monitoring in cardiovascular and chronic disease management
22 November 2025
Translation of AI into cardiology from other industrial spaces
Session
Translation of AI into cardiology from other industrial spaces
21 November 2025
Artificial intelligence in action: implications for atrial fibrillation and heart failure
Session
Artificial intelligence in action: implications for atrial fibrillation and heart failure
29 August 2025
eCardiology Award
Session
eCardiology Award
31 March 2025
Artificial intelligence, wearables, and remote monitoring in atrial fibrillation: ready for prime time?
Session
Artificial intelligence, wearables, and remote monitoring in atrial fibrillation: ready for prime time?
30 March 2025
Artificial intelligence-powered cardiovascular risk assessment: machine learning for disease detection
Session
Artificial intelligence-powered cardiovascular risk assessment: machine learning for disease detection
1 September 2024
Ventricular arrhythmias and the prevention of sudden cardiac death 1
Session
Ventricular arrhythmias and the prevention of sudden cardiac death 1
13 May 2024

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