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...

Full description

Bibliographic Details

Published in:	Frontiers in Cardiovascular Medicine
Main Authors:	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:	Article
Language:	English
Published:	Frontiers Media S.A. 2026-05-01
Subjects:	12-lead ECG artificial intelligence (AI) deep neural network (DNN) machine learning neurological outcome out-of-hospital cardiac arrest (OHCA)
Online Access:	https://www.frontiersin.org/articles/10.3389/fcvm.2026.1765751/full