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Editorial
. 2024 Aug 5:11:1466344.
doi: 10.3389/fcvm.2024.1466344. eCollection 2024.

Editorial: Artificial intelligence in cardiac rhythmology

Andrea Saglietto #  1   2 , Elena Cavallone #  1   2 , Michael Spartalis  3 , Bert Vandenberk  4   5 , Matteo Anselmino  1   2
Affiliations
Editorial

Editorial: Artificial intelligence in cardiac rhythmology

Andrea Saglietto et al. Front Cardiovasc Med. .
No abstract available

Keywords: ECG; artificial intelligence; deep learning; electrophysiology; machine learning.

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Conflict of interest statement

MA has received educational grants from Abbott, is consultant for Biosense Webster and proctor for Medtronic. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Comment on

  • Editorial on the Research Topic Artificial intelligence in cardiac rhythmology

References

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