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CORRECTION article

Front. Cardiovasc. Med., 23 October 2025

Sec. Cardioneurology

Volume 12 - 2025 | https://doi.org/10.3389/fcvm.2025.1708205

Correction: Early stroke detection through machine learning in the prehospital setting


María Ríos Delgado
María Ríos Delgado1*Gemma Reig RosellGemma Reig Roselló2Nicolas Riera-LopezNicolas Riera-Lopez3Jos A. VivancosJosé A. Vivancos2Jos L. Ayala for SUMMA  India Research Group
José L. Ayala1 for SUMMA 112 India Research Group
  • 1Department of Computer Arquitecture and Automation, Universidad Complutense de Madrid, Madrid, Spain
  • 2Servicio de Neurología, Hospital Universitario de La Princesa, IIS-Princesa – Instituto de Investigación Sanitaria Hospital Universitario de La Princesa, Madrid, Spain
  • 3Stroke Commission, Madrid Emergency Medical Service (SUMMA 112), Madrid, Spain

A Correction on

Early stroke detection through machine learning in the prehospital setting

By Ríos Delgado M, Reig Roselló G, Riera- Lopez N, Vivancos JA and Ayala JL. Frontiers in Cardiovascular Medicine, 12, 2025. doi: 10.3389/fcvm.2025.1629853

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.

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: 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: 6 October 2025;
Published: 23 October 2025.

Approved by: Frontiers Editorial Office, Frontiers Media SA, Switzerland

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, bXJpb3MwOUB1Y20uZXM=

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.