Artificial Intelligence and Extended Reality in TAVR: Current Applications and Challenges.
Authors
Skalidis I,Sayah N,Benamer H,Amabile N,Laforgia P,Champagne S,Hovasse T,Garot J,Garot P,Akodad M
Affiliations (3)
Affiliations (3)
- Institut Cardiovasculaire Paris-Sud, Hôpital Jacques Cartier, Ramsay-Santé, Massy, France; School of Medicine, University of Crete, Heraklion, Greece. Electronic address: [email protected].
- Institut Cardiovasculaire Paris-Sud, Hôpital Jacques Cartier, Ramsay-Santé, Massy, France.
- Institut Cardiovasculaire Paris-Sud, Hôpital Jacques Cartier, Ramsay-Santé, Massy, France; School of Medicine, University of Crete, Heraklion, Greece.
Abstract
Integration of AI and XR in TAVR is revolutionizing the management of severe aortic stenosis by enhancing diagnostic accuracy, risk stratification, and pre-procedural planning. Advanced algorithms now facilitate precise electrocardiographic, echocardiographic, and CT-based assessments that reduce observer variability and enable patient-specific risk prediction. Immersive XR technologies, including augmented, virtual, and mixed reality, improve spatial visualization of complex cardiac anatomy and support real-time procedural guidance. Despite these advancements, standardized protocols, regulatory frameworks, and ethical safeguards remain necessary for widespread clinical adoption.
Topics
Journal ArticleReview