Artificial intelligence-enabled phenotyping of patients with severe aortic stenosis: on the recovery of extra-aortic valve cardiac damage after transcatheter aortic valve replacement

OBJECTIVE: A novel artificial intelligence-based phenotyping approach to stratify patients with severe aortic stenosis (AS) prior to transcatheter aortic valve replacement (TAVR) has been proposed, based on echocardiographic and haemodynamic data. This study aimed to analyse the recovery of extra-ao...

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Detalles Bibliográficos
Autores principales: Lachmann, Mark, Rippen, Elena, Schuster, Tibor, Xhepa, Erion, von Scheidt, Moritz, Trenkwalder, Teresa, Pellegrini, Costanza, Rheude, Tobias, Hesse, Amelie, Stundl, Anja, Harmsen, Gerhard, Yuasa, Shinsuke, Schunkert, Heribert, Kastrati, Adnan, Laugwitz, Karl-Ludwig, Joner, Michael, Kupatt, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Valvular Heart Disease
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582320/
https://www.ncbi.nlm.nih.gov/pubmed/36261218
http://dx.doi.org/10.1136/openhrt-2022-002068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582320/
https://www.ncbi.nlm.nih.gov/pubmed/36261218
http://dx.doi.org/10.1136/openhrt-2022-002068

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