Unsupervised Machine Learning of Computed Tomography Angiography Features Uncovers Unique Subphenotypes of Aortic Stenosis With Differential Risks of Conduction Disturbances Following Transcatheter Aortic Valve Replacement

2026-02-25 cardiovascular medicine Title + abstract only

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BackgroundVarious measurements around the aortic valve are typically made on computed tomography angiograms (CTAs) before transcathether aortic valve replacement (TAVR) for aortic stenosis (AS), but their collective prognostic inference on periprocedural conduction disturbances (CDs) is not known. Here, we aimed to use unsupervised machine learning (UML) to analyze a multitude of pre-TAVR CTA features and uncover patient subphenotypes with differential risks of CDs. MethodsTwelve nonredundant f...

Unsupervised Machine Learning of Computed Tomography Angiography Features Uncovers Unique Subphenotypes of Aortic Stenosis With Differential Risks of Conduction Disturbances Following Transcatheter Aortic Valve Replacement

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