Editorial: Artificial intelligence in cardiac rhythmology
Front Cardiovasc Med
.
2024 Aug 5:11:1466344.
doi: 10.3389/fcvm.2024.1466344.
eCollection 2024.
Authors
Andrea Saglietto
#
1
2
,
Elena Cavallone
#
1
2
,
Michael Spartalis
3
,
Bert Vandenberk
4
5
,
Matteo Anselmino
1
2
Affiliations
1
Division of Cardiology, Cardiovascular and Thoracic Department, "Citta Della Salute e Della Scienza" Hospital, Turin, Italy.
2
Department of Medical Sciences, University of Turin, Turin, Italy.
3
Department of Cardiology, National and Kapodistrian University of Athens, Athens, Greece.
4
Department of Cardiology, University Hospitals Leuven, Leuven, Belgium.
5
Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.
#
Contributed equally.
PMID:
39161659
PMCID:
PMC11330872
DOI:
10.3389/fcvm.2024.1466344
No abstract available
Keywords:
ECG; artificial intelligence; deep learning; electrophysiology; machine learning.
Publication types
Editorial