ESC 365 - Improved patient selection for primary prevention ICD implantation by predicting ICD non-benefit using artificial intelligence

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Improved patient selection for primary prevention ICD implantation by predicting ICD non-benefit using artificial intelligence

Session: e-Cardiology award session

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Doctor M. Kolk (Amsterdam, NL)

Event: EHRA 2023

Congress Presentation

About the speaker

Doctor Maarten Kolk

Amsterdam University Medical Centre, Amsterdam (Netherlands (The))

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4 more presentations in this session

Adherence to a mobile health-based atrial fibrillation screening program: a subanalysis from STROKESTOP I and II

Speaker: Miss R. Van Der Velden (Maastricht, NL)

Changes in healthcare utilisation and declarable care products during the implementation of a remote atrial fibrillation management pathway: The TeleCheck-AF project.

Speaker: Doctor K. Betz (Maastricht, NL)

A data-driven cluster analysis of stroke phenotypes in Asian patients with atrial fibrillation: refinement of the CHA2DS2-VASc score

Speaker: Doctor J. Hsu (New Taipei City, TW)

The European TeleCheck-AF project on remote app-based management of atrial fibrillation: ablation outpatient clinic experience.

Speaker: Ms A. Hermans (Maastricht, NL)

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e-Cardiology award session

Speakers: Doctor M. Kolk, Miss R. Van Der Velden, Doctor K. Betz, Doctor J. Hsu, Ms A. Hermans

About the event

EHRA 2023

16 April - 18 April 2023

Sessions Presentations

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