Machine learning prediction of outcome following pulsed-field atrial fibrillation ablation: patient selection and risk factors.

Anselmino M, Bianchi S, De Lucia R, Tondo C, Iacopino S, Solimene F, Rossillo A, Bertini M, Themistoclakis S, Meynet I, Russo M, Dello Russo A, Zingarini G, Bandino S, Volpicelli M, Rossi P, Bianchini L, Schillaci V, De Simone A, Scaglione M, Rovaris G, De Ferrari GM, Malacrida M, Saglietto A, Zucchelli G

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DOI: 10.1093/europace/euag053
Published: 2026 May 6
Container: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/europace/euag053,
  title = {Machine learning prediction of outcome following pulsed-field atrial fibrillation ablation: patient selection and risk factors.},
  author = {Anselmino M and Bianchi S and De Lucia R and Tondo C and Iacopino S and Solimene F and Rossillo A and Bertini M and Themistoclakis S and Meynet I and Russo M and Dello Russo A and Zingarini G and Bandino S and Volpicelli M and Rossi P and Bianchini L and Schillaci V and De Simone A and Scaglione M and Rovaris G and De Ferrari GM and Malacrida M and Saglietto A and Zucchelli G},
  year = {2026},
  journal = {Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology},
  doi = {10.1093/europace/euag053},
  url = {https://doi.org/10.1093/europace/euag053}
}

RIS

TY  - JOUR
TI  - Machine learning prediction of outcome following pulsed-field atrial fibrillation ablation: patient selection and risk factors.
AU  - Anselmino M
AU  - Bianchi S
AU  - De Lucia R
AU  - Tondo C
AU  - Iacopino S
AU  - Solimene F
AU  - Rossillo A
AU  - Bertini M
AU  - Themistoclakis S
AU  - Meynet I
AU  - Russo M
AU  - Dello Russo A
AU  - Zingarini G
AU  - Bandino S
AU  - Volpicelli M
AU  - Rossi P
AU  - Bianchini L
AU  - Schillaci V
AU  - De Simone A
AU  - Scaglione M
AU  - Rovaris G
AU  - De Ferrari GM
AU  - Malacrida M
AU  - Saglietto A
AU  - Zucchelli G
PY  - 2026
JO  - Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
DO  - 10.1093/europace/euag053
UR  - https://doi.org/10.1093/europace/euag053
ER  -

APA

M, A., S, B., R, D. L., C, T., S, I., F, S., A, R., M, B., S, T., I, M., M, R., A, D. R., G, Z., S, B., M, V., P, R., L, B., V, S., A, D. S., M, S., G, R., GM, D. F., M, M., A, S., & G, Z. (2026). Machine learning prediction of outcome following pulsed-field atrial fibrillation ablation: patient selection and risk factors.. Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology. https://doi.org/10.1093/europace/euag053

Source records

pubmed · retrieved 2026-09-26T20:02:05.875Z