<?xml version="1.0" encoding="UTF-8"?>
<references>
<reference>
  <a1>Svennberg, Emma</a1>
  <a2>Han, Janet K.</a2>
  <a2>Caiani, Enrico G.</a2>
  <a2>Engelhardt, Sandy</a2>
  <a2>Ernst, Sabine</a2>
  <a2>Friedman, Paul</a2>
  <a2>Garcia, Rodrigue</a2>
  <a2>Ghanbari, Hamid</a2>
  <a2>Hindricks, Gerhard</a2>
  <a2>Man, Sharon H.</a2>
  <a2>Millet, José</a2>
  <a2>Narayan, Sanjiv M.</a2>
  <a2>Ng, G. André</a2>
  <a2>Noseworthy, Peter A.</a2>
  <a2>Tjong, Fleur V.Y.</a2>
  <a2>Ramírez, Julia</a2>
  <a2>Singh, Jagmeet P.</a2>
  <a2>Trayanova, Natalia</a2>
  <a2>Duncker, David</a2>
  <a2>Tfelt Hansen, Jacob</a2>
  <a2>Barker, Joseph</a2>
  <a2>Casado-Arroyo, Ruben</a2>
  <a2>Chatterjee, Neal A.</a2>
  <a2>Conte, Giulio</a2>
  <a2>Diederichsen, Søren Zöga</a2>
  <a2>Linz, Dominik</a2>
  <a2>Mahtani, Arun Umesh</a2>
  <a2>Zorzi, Alessandro</a2>
  <t1>State of the Art of Artificial Intelligence in Clinical Electrophysiology in 2025: A Scientific Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), and the ESC Working Group on E-Cardiology</t1>
  <t2>Europace</t2>
  <sn/>
  <op/>
  <vo/>
  <ab/>
  <la>eng</la>
  <k1/>
  <pb/>
  <pp/>
  <yr>2025</yr>
  <ed/>
  <ul>http://zaguan.unizar.es/record/161106/files/texto_completo.pdf;
	http://zaguan.unizar.es/record/161106/files/texto_completo.jpg?subformat=icon;
	</ul>
  <no>Imported from Invenio.</no>
</reference>

</references>