Uncertainty estimation for deep learning-based automated analysis of 12-lead electrocardiograms

AIMS: Automated interpretation of electrocardiograms (ECGs) using deep neural networks (DNNs) has gained much attention recently. While the initial results have been encouraging, limited attention has been paid to whether such results can be trusted, which is paramount for their clinical implementat...

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Detalles Bibliográficos
Autores principales: Vranken, Jeroen F, van de Leur, Rutger R, Gupta, Deepak K, Juarez Orozco, Luis E, Hassink, Rutger J, van der Harst, Pim, Doevendans, Pieter A, Gulshad, Sadaf, van Es, René
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707930/
https://www.ncbi.nlm.nih.gov/pubmed/36713602
http://dx.doi.org/10.1093/ehjdh/ztab045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707930/
https://www.ncbi.nlm.nih.gov/pubmed/36713602
http://dx.doi.org/10.1093/ehjdh/ztab045

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