An incorrect number was provided for Instituto de Salud Carlos III (ISCIII). The correct number is PI22/01454.
The original version of this article has been updated.
Statements
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.
Summary
Keywords
stroke, LVO, emeregency medical services, prehospital, machine learning, genetic algorithms, clinical data, hemodynamic data
Citation
Ríos Delgado M, Reig Roselló G, Riera-Lopez N, Vivancos JA and Ayala JL (2025) Correction: Early stroke detection through machine learning in the prehospital setting. Front. Cardiovasc. Med. 12:1708205. doi: 10.3389/fcvm.2025.1708205
Received
18 September 2025
Accepted
06 October 2025
Published
23 October 2025
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
12 - 2025
Updates
Copyright
© 2025 Ríos Delgado, Reig Roselló, Riera-Lopez, Vivancos and Ayala.
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: María Ríos Delgado mrios09@ucm.es
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.