CORRECTION article

Front. Med., 14 October 2025

Sec. Pathology

Volume 12 - 2025 | https://doi.org/10.3389/fmed.2025.1718394

Correction: A new integrated machine learning model: application to improve the accuracy of predicting left atrial appendage thrombus in patients with non-valvular atrial fibrillation

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    Frontiers Production Office

  • Frontiers Media SA, Lausanne, Switzerland

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The conflict of interest statement was erroneously given as “YL was employed by Yizhun Medical AI Co. Ltd. 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 correct conflict of interest statement is “YL was employed by Yizhun Medical AI Co. Ltd. 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 handling editor DZ declared a shared parent affiliation of Xi'an Jiaotong University with the author HH at the time of review.”

The original version of this article has been updated.

Summary

Keywords

non-valvular atrial fibrillation, transthoracic echocardiography, left atrial appendage thrombosis, machine learning models, transesophageal echocardiography

Citation

Frontiers Production Office (2025) Correction: A new integrated machine learning model: application to improve the accuracy of predicting left atrial appendage thrombus in patients with non-valvular atrial fibrillation. Front. Med. 12:1718394. doi: 10.3389/fmed.2025.1718394

Received

03 October 2025

Accepted

03 October 2025

Published

14 October 2025

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Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

12 - 2025

Updates

Copyright

*Correspondence: Frontiers Production Office

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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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