Back

Incorporating machine learning into ICD remote monitoring: risk assessment for sustained ventricular arrhythmia after an isolated non-sustained ventricular tachycardia alert.

31 August 2025 (16:21 - 16:33)
Organised by: Logo
Congress Presentation Part of: The rise of the machines: digital technology for device therapy Implantable Cardioverter-Defibrillator (ICD) ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

Photo
Doctor Ruaraidh Campbell

University College London, London (United Kingdom of Great Britain & Northern Ireland)

3 More presentations in this session

Presentation thumbnail
Ultra-high-frequency ECG outperforms strauss criteria for diagnosing true left bundle branch block in candidates of cardiac resynchronization therapy
Doctor K. Curila (Prague, CZ)
Abstract Slides Video
Presentation thumbnail
A multistate model of clinical trajectories of heart failure patients with implantable electronic devices followed with remote monitoring: what outcome implications of alerts and their timing
Doctor D. Mei (Modena, IT)
Abstract Slides Video
Presentation thumbnail
Machine learning-lased prediction of atrial fibrillation in patients with atrial high-rate episodes
Doctor A. Askarinejad (Liverpool, GB)
Abstract Slides Video

Access the full session

Session thumbnail
The rise of the machines: digital technology for device therapy
Video

The Event

Event poster

ESC Congress 2025

31 August 2025 16:21 CET
You may be interested in
thumbnail
Congress Session
The rise of the machines: digital technology for device therapy
thumbnail
Congress Presentation
AI in risk assessment for sudden cardiac death and ventricular arrhythmia
thumbnail
Congress Session
eCardiology Award

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources