Machine learning for the real-time assessment of left ventricular ejection fraction in critically ill patients: a bedside evaluation by novices and experts in echocardiography

Machine learning for the real-time assessment of left ventricular ejection fraction in critically ill patients: a bedside evaluation by novices and experts in echocardiography

Abstract Background Machine learning algorithms have recently been developed to enable the automatic and real-time echocardiographic assessment of left ventricular ejection fraction (LVEF) and have not been evaluated in critically ill patients. Methods Real-time LVEF was prospectively measured in 95...

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Bibliographic Details
Main Authors: Rita Varudo, Filipe A. Gonzalez, João Leote, Cristina Martins, Jacobo Bacariza, Antero Fernandes, Frederic Michard
Format: Article
Language:English
Published: BMC 2022-12-01
Series:Critical Care
Subjects:
Echocardiography
Left ventricular ejection fraction
Artificial intelligence
Machine learning
Point of care ultrasound
Novice
Online Access:https://doi.org/10.1186/s13054-022-04269-6

Internet

https://doi.org/10.1186/s13054-022-04269-6

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