Session 10 - 8 June 2024

AI and data science in atrial arrhythmias

Chairs:

Laurent Pison and Uli Schotten

Presenters

	Paul Friedman
Hospital:	Mayo Clinic, Rochester, MN, USA
Specialties:	Ablation and device therapy, left atrial appendage occlusion, implantable defibrillators, innovation in medicine, novel medical devices, artificial intelligence, integration of AI into clinical practice
Session 10:	08:30-08:45
Title:	The impact of artificial intelligence on AF management

	Nele Vandersickel
University:	Ghent University, Ghent, Belgium
X name:	@NVandersickel
Specialties:	Atrial tachycardia, ablation therapy, computer simulations, arrhythmia mechanisms, network theory, topology, software development
Session 10:	08:45-09:00
Title:	Graph-based data analysis for the interpretation of atrial arrhythmias

	Stef Zeemering
University:	Maastricht University, Maastricht, the Netherlands
X name:	@stefzeemering
Specialties:	Machine learning, systems biology, electrocardiography, electroanatomical mapping
Session 10:	09:00-09:15
Title:	Non-invasive electrical characterization of AF

	Olaf Dössel
University:	Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
X name:
Specialties:	Machine learning, signal processing
Session 10:	09:15-09:30
Title:	AI assisted analysis of atrial electrograms and maps - ideas and obstacles

09:30-09:50	Discussions with the speakers