Automated In‐Line Artificial Intelligence Measured Global Longitudinal Shortening and Mitral Annular Plane Systolic Excursion: Reproducibility and Prognostic Significance

Automated In‐Line Artificial Intelligence Measured Global Longitudinal Shortening and Mitral Annular Plane Systolic Excursion: Reproducibility and Prognostic Significance

Background Global longitudinal shortening (GL‐Shortening) and the mitral annular plane systolic excursion (MAPSE) are known markers in heart failure patients, but measurement may be subjective and less frequently reported because of the lack of automated analysis. Therefore, a validated, automated a...

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Bibliographic Details
Main Authors: Hui Xue, Jessica Artico, Rhodri H. Davies, Robert Adam, Abhishek Shetye, João B. Augusto, Anish Bhuva, Fredrika Fröjdh, Timothy C. Wong, Miho Fukui, João L. Cavalcante, Thomas A. Treibel, Charlotte Manisty, Marianna Fontana, Martin Ugander, James C. Moon, Erik B. Schelbert, Peter Kellman
Format: Article
Language:English
Published: Wiley 2022-02-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
artificial intelligence
cardiac magnetic resonance imaging
global longitudinal shortening, reproducibility
image processing
prognosis
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.121.023849

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https://www.ahajournals.org/doi/10.1161/JAHA.121.023849

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