Rationale and design of the artificial intelligence scalable solution for acute myocardial infarction (ASSIST) study-Reference-Cited by-同舟云学术

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Rationale and design of the artificial intelligence scalable solution for acute myocardial infarction (ASSIST) study

Published:2024-09 Issue: Volume:86 Page:153768
ISSN:0022-0736
Container-title:Journal of Electrocardiology
language:en
Short-container-title:Journal of Electrocardiology

Author:

Domingo-Gardeta Tomás,Montero-Cabezas José M.,Jurado-Román Alfonso,Sabaté Manel,Aboal Jaime,Baranchuk Adrián,Carrillo Xavier,García-Zamora Sebastián,Dores Hélder,van der Valk Viktor,Scherptong Roderick W.C.,Andrés-Cordón Joan F.,Vidal Pablo,Moreno-Martínez Daniel,Toribio-Fernández Raquel,Lillo-Castellano José María,Cruz Roberto,De Guio François,Marina-Breysse Manuel,Martínez-Sellés Manuel

Funder

European Institute of Innovation and Technology

EIT Health

Publisher

Elsevier BV

Reference37 articles.

1. European cardiovascular disease statistics 2017;Wilkins,2017

2. 2017 ESC guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation;Ibanez;Eur. Heart J.,2018

3. Beyond the ST-segment in occlusion myocardial infarction [OMI]: diagnosing the OMI-nous;Aslanger;Turkish Journal of Emergency Medicine,2023

4. Accuracy of OMI ECG findings versus STEMI criteria for diagnosis of acute coronary occlusion myocardial infarction;Pendell Meyers;Int J Cardiol Heart Vasc,2021

5. Rational and design of ST-segment elevation not associated with acute cardiac necrosis [LESTONNAC]. A prospective registry for validation of a deep learning system assisted by artificial intelligence;Martínez-Sellés;J. Electrocardiol.,2021

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