Predictive Value of Artificial Intelligence‐Enabled Electrocardiography in Patients With Takotsubo Cardiomyopathy

Predictive Value of Artificial Intelligence‐Enabled Electrocardiography in Patients With Takotsubo Cardiomyopathy

Background Recent studies have indicated high rates of future major adverse cardiovascular events in patients with Takotsubo cardiomyopathy (TC), but there is no well‐established tool for risk stratification. This study sought to evaluate the prognostic value of several artificial intelligence‐augme...

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Bibliographic Details
Main Authors: Yoshihisa Kanaji, Ilke Ozcan, David N. Tryon, Ali Ahmad, Jaskanwal Deep Singh Sara, Brad Lewis, Paul Friedman, Peter A Noseworthy, Lilach O. Lerman, Tsunekazu Kakuta, Zachi I. Attia, Amir Lerman
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
artificial intelligence
electrocardiography
Takotsubo cardiomyopathy
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.123.031859

Internet

https://www.ahajournals.org/doi/10.1161/JAHA.123.031859

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