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

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 ICU pa...

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Detalles Bibliográficos
Autores principales: Varudo, Rita, Gonzalez, Filipe A., Leote, João, Martins, Cristina, Bacariza, Jacobo, Fernandes, Antero, Michard, Frederic
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Brief Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749290/
https://www.ncbi.nlm.nih.gov/pubmed/36517906
http://dx.doi.org/10.1186/s13054-022-04269-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749290/
https://www.ncbi.nlm.nih.gov/pubmed/36517906
http://dx.doi.org/10.1186/s13054-022-04269-6

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