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CORRECTION article

Front. Neurol., 11 October 2024
Sec. Stroke
Volume 15 - 2024 | https://doi.org/10.3389/fneur.2024.1499029

Corrigendum: Machine learning to predict futile recanalization of large vessel occlusion before and after endovascular thrombectomy

This article is a correction to:

  1. Machine learning to predict futile recanalization of large vessel occlusion before and after endovascular thrombectomy

    1. Read original article
\r\nXinping Lin,&#x;Xinping Lin1,2†Xiaohan Zheng,&#x;Xiaohan Zheng1,2†Juan Zhang&#x;Juan Zhang3†Xiaoli CuiXiaoli Cui3Daizu Zou,Daizu Zou1,2Zheng Zhao,Zheng Zhao2,4Xiding Pan,Xiding Pan2,4Qiong Jie,Qiong Jie2,4Yuezhang Wu,Yuezhang Wu2,4Runze Qiu,Runze Qiu2,4Junshan ZhouJunshan Zhou5Nihong ChenNihong Chen5Li Tang Li Tang6*Chun Ge Chun Ge2*Jianjun Zou, Jianjun Zou2,4*
  • 1School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
  • 2Department of Pharmacy Nanjing First Hospital, Nanjing Medical University, Nanjing, China
  • 3Department of Neurology, Nanjing Yuhua Hospital, Yuhua Branch of Nanjing First Hospital, Nanjing Medical University, Nanjing, China
  • 4Department of Pharmacy, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China
  • 5Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
  • 6Department of Pharmacy, Yixing Cancer Hospital, Yixing, China

A Corrigendum on
Machine learning to predict futile recanalization of large vessel occlusion before and after endovascular thrombectomy

by Lin, X., Zheng, X., Zhang, J., Cui, X., Zou, D., Zhao, Z., Pan, X., Jie, Q., Wu, Y., Qiu, R., Zhou, J., Chen, N., Tang, L., Ge, C., and Zou, J. (2022). Front. Neurol. 13:909403. doi: 10.3389/fneur.2022.909403

In the published article, there was an error in Supplementary Table 1. The authors accidentally uploaded the incorrect Supplementary Table 1 that contains non-public information of patients.

The updated Supplementary Table has been published.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher's note

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.

Keywords: futile recanalization, machine learning, large vessel occlusion, endovascular thrombectomy, predictive model

Citation: Lin X, Zheng X, Zhang J, Cui X, Zou D, Zhao Z, Pan X, Jie Q, Wu Y, Qiu R, Zhou J, Chen N, Tang L, Ge C and Zou J (2024) Corrigendum: Machine learning to predict futile recanalization of large vessel occlusion before and after endovascular thrombectomy. Front. Neurol. 15:1499029. doi: 10.3389/fneur.2024.1499029

Received: 20 September 2024; Accepted: 26 September 2024;
Published: 11 October 2024.

Edited and reviewed by: Jean-Claude Baron, University of Cambridge, United Kingdom

Copyright © 2024 Lin, Zheng, Zhang, Cui, Zou, Zhao, Pan, Jie, Wu, Qiu, Zhou, Chen, Tang, Ge and Zou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jianjun Zou, em91amlhbmp1bjEwMCYjeDAwMDQwOzEyNi5jb20=; Chun Ge, Z2VjaHVuOTAxMDIwJiN4MDAwNDA7MTYzLmNvbQ==; Li Tang, ODk1NjEwMzI0JiN4MDAwNDA7cXEuY29t

†These authors have contributed equally to this work and share first authorship

Disclaimer: 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.