Predicting the unpredictable: a novel application of artificial intelligence in the cardiac intensive care unit-Reference-Cited by-同舟云学术

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Predicting the unpredictable: a novel application of artificial intelligence in the cardiac intensive care unit

Published:2024-05-17 Issue:6 Volume:13 Page:481-483
ISSN:2048-8726
Container-title:European Heart Journal: Acute Cardiovascular Care
language:en
Short-container-title:

Author:

Jentzer Jacob C¹^ORCID,Rossello Xavier²³⁴^ORCID

Affiliation:

1. Department of Cardiovascular Medicine, Mayo Clinic , 200 First Street SW, Rochester, MN 55905 , USA

2. Cardiology Department, Hospital Universitari Son Espases, Health Research Institute of the Balearic Islands (IdISBa) , Palma , Spain

3. Facultad de Medicina, Universitat de les Illes Balears (UIB) , Palma , Spain

4. Clinical Research Department, Centro Nacional de Investigaciones Cardiovasculares (CNIC) , Madrid , Spain

Publisher

Oxford University Press (OUP)

Link

https://academic.oup.com/ehjacc/advance-article-pdf/doi/10.1093/ehjacc/zuae065/58198817/zuae065.pdf

Reference15 articles.

1. Shock in the cardiac intensive care unit: changes in epidemiology and prognosis over time;Jentzer;Am Heart J,2020

2. Epidemiology, pathophysiology and contemporary management of cardiogenic shock—a position statement from the Heart Failure Association of the European Society of Cardiology;Chioncel;Eur J Heart Fail,2020

3. Cardiogenic shock complicating acute myocardial infarction; prognostic impact of early and late shock development;Lindholm;Eur Heart J,2003

4. Risk factors of late cardiogenic shock and mortality in ST-segment elevation myocardial infarction patients;Obling;Eur Heart J Acute Cardiovasc Care,2018

5. Predicting the development of in-hospital cardiogenic shock in patients with ST-segment elevation myocardial infarction treated by primary percutaneous coronary intervention: the ORBI risk score;Auffret;Eur Heart J,2018

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