Generalizable and robust deep learning algorithm for atrial fibrillation diagnosis across geography, ages and sexes

To drive health innovation that meets the needs of all and democratize healthcare, there is a need to assess the generalization performance of deep learning (DL) algorithms across various distribution shifts to ensure that these algorithms are robust. This retrospective study is, to the best of our...

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Detalles Bibliográficos
Autores principales: Biton, Shany, Aldhafeeri, Mohsin, Marcusohn, Erez, Tsutsui, Kenta, Szwagier, Tom, Elias, Adi, Oster, Julien, Sellal, Jean Marc, Suleiman, Mahmoud, Behar, Joachim A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10023682/
https://www.ncbi.nlm.nih.gov/pubmed/36932150
http://dx.doi.org/10.1038/s41746-023-00791-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10023682/
https://www.ncbi.nlm.nih.gov/pubmed/36932150
http://dx.doi.org/10.1038/s41746-023-00791-1

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