Crossmark

Integrating traditional statistics and explainable machine learning for risk stratification of atrial fibrillation recurrence after pulsed field ablation: a hypothesis-generating single-center study

Crossref DOI link: https://doi.org/10.1186/s12872-026-05666-3

Published Online: 2026-03-13

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ren, Haoqing https://orcid.org/0009-0007-6533-4342
Lai, Hengli
Funding

Funding for this research was provided by:

Project of Jiangxi Branch of National Clinical Research Center for Radiation and Therapy (20241ZDG02056)

Natural Science Foundation of Jiangxi Province (20242BAB20341)
License Information

Text and Data Mining valid from 2026-03-13

Accepted Manuscript valid from 2026-03-13
More Information

Article History

Received: 1 January 2026

Accepted: 25 February 2026

First Online: 13 March 2026

Declarations

:

: Approved by the Medical Ethics Committee of Jiangxi Provincial People's Hospital.The requirement for informed consent was waived by the ethics committee due to the retrospective nature of the study.

: Not applicable. This manuscript does not contain any individual person’s data in any form

: The authors declare no competing interests.

Document is current

Any future updates will be listed below