A fully automated artificial intelligence-driven software for planning of transcatheter aortic valve replacement.

Stefan Toggweiler¹, Moritz C Wyler von Ballmoos², Federico Moccetti³, André Douverny⁴, Mathias Wolfrum³, Ziya Imamoglu⁴, Anton Mohler⁴, Utku Gülan⁴, Won-Keun Kim⁵

¹Heart Center Lucerne, Luzerner Kantonsspital, Lucerne, Switzerland. Electronic address: stefan.toggweiler@luks.ch.

²Department of Cardiovascular & Thoracic Surgery, Texas Health Harris Methodist Hospital, Fort Worth, TX, USA.

³Heart Center Lucerne, Luzerner Kantonsspital, Lucerne, Switzerland.

⁴Hi-D Imaging, Winterthur, Switzerland.

⁵University of Giessen/Marburg, Department of Cardiology, Giessen, Germany.

PubMed DOI

Abstract

BACKGROUND: Transcatheter aortic valve replacement (TAVR) is increasingly performed for the treatment of aortic stenosis. Computed tomography (CT) analysis is essential for pre-procedural planning. Currently available software packages for TAVR planning require substantial human interaction. We describe development and validation of an artificial intelligence (AI) powered software to automatically…

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Mentioned Companies

Hi-D Imaging
affiliation

MeSH Terms

Humans0Aortic Valve Stenosis*Aortic Valve*Transcatheter Aortic Valve Replacement*Predictive Value of Tests*Radiographic Image Interpretation, Computer-Assisted*Reproducibility of Results0Artificial Intelligence*Software*Automation*Heart Valve Prosthesis0Prosthesis Design0Observer Variation0Software Validation0Multidetector Computed Tomography0

Keywords

Aortic stenosisArtificial intelligenceMachine learningPre-procedural planningTime efficiency

Article Info

PMID: 38467531
DOI: 10.1016/j.carrev.2024.03.008
Received: February 16, 2024
Accepted: March 5, 2024

How to Cite

Toggweiler S et al. A fully automated artificial intelligence-driven software for planning of transcatheter aortic valve replacement. Cardiovasc Revasc Med2024;6525-31. doi:10.1016/j.carrev.2024.03.008

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