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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
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 |
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