Machine learning-derived electrocardiographic algorithm for the detection of cardiac amyloidosis

BACKGROUND: Diagnosis of cardiac amyloidosis (CA) requires advanced imaging techniques. Typical surface ECG patterns have been described, but their diagnostic abilities are limited. OBJECTIVE: The aim was to perform a thorough electrophysiological characterisation of patients with CA and derive an e...

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Detalles Bibliográficos
Autores principales: Schrutka, Lore, Anner, Philip, Agibetov, Asan, Seirer, Benjamin, Dusik, Fabian, Rettl, René, Duca, Franz, Dalos, Daniel, Dachs, Theresa-Marie, Binder, Christina, Badr-Eslam, Roza, Kastner, Johannes, Beitzke, Dietrich, Loewe, Christian, Hengstenberg, Christian, Laufer, Günther, Stix, Guenter, Dorffner, Georg, Bonderman, Diana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Heart Failure and Cardiomyopathies
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240336/
https://www.ncbi.nlm.nih.gov/pubmed/34716183
http://dx.doi.org/10.1136/heartjnl-2021-319846

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240336/
https://www.ncbi.nlm.nih.gov/pubmed/34716183
http://dx.doi.org/10.1136/heartjnl-2021-319846

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