Artificial intelligence applied to post-resuscitation ECGs for early prognostication after out-of-hospital cardiac arrest

BackgroundThere are limited tools for early outcome prediction after Out-of-Hospital Cardiac Arrest (OHCA). This study aimed to evaluate whether a machine learning model could help to predict neurological outcome using the 12-lead ECG acquired on scene following return of spontaneous circulation (RO...

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Auteurs principaux:	Francesca R. Gentile, Syed Taimoor Hussain Shah, Michela Sperti, Konstantinos Panagiotopoulos, Roberto Primi, Leila Ulmanova, Alessia Currao, Sara Bendotti, Enrico Baldi, David N. Bauer, Silvia M. Pontremoli, Gianluca Marconi, Marco A. Deriu, Simone Savastano
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2026-05-01
Collection:	Frontiers in Cardiovascular Medicine
Sujets:	12-lead ECG artificial intelligence (AI) deep neural network (DNN) machine learning neurological outcome out-of-hospital cardiac arrest (OHCA)
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fcvm.2026.1765751/full
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