Skip to main content
SpringerLink
Log in

Time to capitalise on artificial intelligence in cardiac electrophysiology

  • RESEARCH LETTER
  • Published:
Journal of Interventional Cardiac Electrophysiology Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

References

  1. Nagarajan VD, Lee SL, Robertus JL, et al. Artificial intelligence in the diagnosis and management of arrhythmias. Eur Heart J. 2021;42:3904–16.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Sau A, Ng FS. The emerging role of artificial intelligence enabled electrocardiograms in healthcare. BMJ Medicine. 2023;2:e000193.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Baldazzi G, Orrù M, Viola G, et al. Computer-aided detection of arrhythmogenic sites in post-ischemic ventricular tachycardia. Sci Rep. 2023;13(1):6906. https://doi.org/10.1038/S41598-023-33866-W.

  4. Tang S, Razeghi O, Kapoor R, et al. Machine learning-enabled multimodal fusion of intra-atrial and body surface signals in prediction of atrial fibrillation ablation outcomes. Circ Arrhythm Electrophysiol. 2022;15:500–9.

    Article  Google Scholar 

  5. Williams SE, Roney CH, Connolly A, et al. OpenEP: a cross-platform electroanatomic mapping data format and analysis platform for electrophysiology research. Front Physiol. 2021;12:160.

    Article  Google Scholar 

  6. Zahid S, Malik T, Peterson C, et al. Conduction velocity is reduced in the posterior wall of hypertrophic cardiomyopathy patients with normal bipolar voltage undergoing ablation for paroxysmal atrial fibrillation. J Interv Card Electrophysiol. 2024;67:203–10. https://doi.org/10.1007/s10840-023-01533-9.

  7. Ventricular conduction velocity following multimodal ablation including stereotactic body radiation therapy for refractory ventricular tachycardia. https://doi.org/10.1016/j.jacep.2022.08.032.

  8. D’Asseler Y, Koole M, Van Laere K, et al. PACS and multimodality in medical imaging. Technol Health Care. 2000;8:35–52.

    Article  PubMed  Google Scholar 

  9. Slotwiner DJ, Abraham RL, Al-Khatib SM, et al. HRS white paper on interoperability of data from cardiac implantable electronic devices (CIEDs). 2019.https://doi.org/10.1016/j.hrthm.2019.05.002.

  10. PR Newswire. Minimally invasive procedures pump up electrophysiology market to $9 trillion by 2034. [updated 24 January 2024; cited 15 February 2024]. Available from https://www.prnewswire.com/news-releases/minimally-invasive-procedures-pump-up-electrophysiology-market-to-9-trillion-by-2034-302043209.html

Download references

Acknowledgements

This research is part of the British Heart Foundation Centre for Research Excellence at The University of Edinburgh (RE/18/5/34216).

Funding

SEW is supported by the British Heart Foundation (FS/20/26/34952). The authors acknowledge the support of the British Heart Foundation (RG/20/4/34803).

Author information

Authors and Affiliations

  1. King’s College London, London, UK

    Neil Bodagh, Magda Klis, Steven Niederer & Mark O’Neill

  2. University of Edinburgh, Edinburgh, UK

    Ali Gharaviri, Vinush Vigneswaran, Keeran Vickneson, Michelle C. Williams & Steven E. Williams

Authors
  1. Neil Bodagh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Magda Klis
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ali Gharaviri
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Vinush Vigneswaran
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Keeran Vickneson
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Michelle C. Williams
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Steven Niederer
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Mark O’Neill
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Steven E. Williams
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Neil Bodagh.

Ethics declarations

Ethics approval

Not applicable.

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bodagh, N., Klis, M., Gharaviri, A. et al. Time to capitalise on artificial intelligence in cardiac electrophysiology. J Interv Card Electrophysiol (2024). https://doi.org/10.1007/s10840-024-01803-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10840-024-01803-0

Search

Navigation