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

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-aor...

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Bibliographic Details
Main Authors: Tibor Schuster, Adnan Kastrati, Shinsuke Yuasa, Erion Xhepa, Christian Kupatt, Michael Joner, Karl-Ludwig Laugwitz, Heribert Schunkert, Mark Lachmann, Elena Rippen, Moritz von Scheidt, Teresa Trenkwalder, Costanza Pellegrini, Tobias Rheude, Amelie Hesse, Anja Stundl, Gerhard Harmsen
Format: Article
Language:English
Published: BMJ Publishing Group 2022-08-01
Series:Open Heart
Online Access:https://openheart.bmj.com/content/9/2/e002068.full

Internet

https://openheart.bmj.com/content/9/2/e002068.full

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