Peer-Reviewed Publication
JACC Cardiovasc Interv2025;18(20):2439-2457.October 27, 2025Journal Article
Artificial Intelligence in Valvular Heart Disease: Innovations and Future Directions.
Annette Maznyczka1, Rutger-Jan Nuis2, Isaac Shiri3, Julien Ternacle4, Philippe Garot5, Mark M P van den Dorpel6, Arif A Khokhar7, Raffaele De Lucia8, Michele Orini9, Shelby Kutty10, Julia Grapsa11, Christoph Gräni12, Ambarish Pandey13, Taylor Becker14, Kevin O'Gallagher15, Peter Mortier16, Lakshmi Prasad Dasi17, Klaus Fuglsang Kofoed18, Sandy Engelhardt19, Patric Biaggi20, Faraz S Ahmad21, Dee Dee Wang22, Lionel Leroux4, Thomas Modine4, Stephan Windecker3, Rebecca T Hahn23, Nicolas M Van Mieghem2, Ole De Backer24
1Department of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom. Electronic address: https://twitter.com/AMaznyczka.
2Department of Cardiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
3Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Switzerland.
4Haut-Leveque Cardiology Hospital, CHU Bordeaux, Pessac, France; Cardio-Thoracic Research Centre, University of Bordeaux, Bordeaux, France.
5Institut Cardiovasculaire Paris Sud, Hôpital Privé Jacques Cartier, Ramsay Santé, Massy, France. Electronic address: https://twitter.com/DrGarot.
6Department of Cardiology, Erasmus University Medical Center, Rotterdam, the Netherlands. Electronic address: https://twitter.com/markvddorpel.
7The Heart Center, Rigshospitalet, Copenhagen, Denmark. Electronic address: https://twitter.com/DrArifK.
8Second Cardiology Division, Cardiothoracic and Vascular Department, Santa Chiara University Hospital, Pisa, Italy.
9Department of Biomedical Engineering, King's College London, London, United Kingdom.
10The Blalock Taussig Thomas Heart Center, John Hopkins Hospital and School of Medicine, Baltimore, Maryland, USA. Electronic address: https://twitter.com/ShelbyKuttyMD.
11Brigham and Women's Hospital, Boston, Massachusetts, USA. Electronic address: https://twitter.com/jgrapsa.
12Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Switzerland. Electronic address: https://twitter.com/chrisgraeni.
13Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas USA.
14Department of Biomedical Sciences, The Ohio State University College of Medicine, Columbus, Ohio, USA.
15Cardiovascular Department, King's College Hospital NHS Foundation Trust London, London, United Kingdom; School of Cardiovascular and Metabolic Medicine & Sciences, British Heart Foundation Centre of Research Excellence, King's College London, London, United Kingdom.
16Feops-Materialise (FEops), Ghent, Belgium.
17Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
18The Heart Center, Rigshospitalet, Copenhagen, Denmark.
19Department of Cardiology, Angiology and Pneumonology, Heidelberg University Hospital, Heidelberg, Germany/German Centre for Cardiovascular Research (DZHK), Partner Site Heidelberg-Mannheim, Germany.
20Heart Clinic Hirslanden, Zurich, Switzerland/University of Zurich, Zurich, Switzerland.
21Division of Cardiology, Department of Medicine, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA. Electronic address: https://twitter.com/FarazAhmadMD.
22Center for Structural Heart Disease, Henry Ford Health System, Detroit, Michigan, USA. Electronic address: https://twitter.com/DeeDeeWangMD.
23Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA. Electronic address: https://twitter.com/hahn_rt.
24The Heart Center, Rigshospitalet, Copenhagen, Denmark. Electronic address: ole.debacker@gmail.com.
Abstract
Managing valvular heart disease (VHD) requires integrating multimodal data, including demographics, symptoms, biomarkers, electrocardiogram findings, and imaging studies. However, the capacity and processing power of the human mind are limited, particularly in the current era where vast quantities of complex data require rapid processing. Integrating artificial intelligence (AI) into the managemen…
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