A formal validation of a deep learning-based automated workflow for the interpretation of the echocardiogram

This study compares a deep learning interpretation of 23 echocardiographic parameters—including cardiac volumes, ejection fraction, and Doppler measurements—with three repeated measurements by core lab sonographers. The primary outcome metric, the individual equivalence coefficient (IEC), compares t...

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Detalles Bibliográficos
Autores principales: Tromp, Jasper, Bauer, David, Claggett, Brian L., Frost, Matthew, Iversen, Mathias Bøtcher, Prasad, Narayana, Petrie, Mark C., Larson, Martin G., Ezekowitz, Justin A., Solomon, Scott D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646849/
https://www.ncbi.nlm.nih.gov/pubmed/36351912
http://dx.doi.org/10.1038/s41467-022-34245-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646849/
https://www.ncbi.nlm.nih.gov/pubmed/36351912
http://dx.doi.org/10.1038/s41467-022-34245-1

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