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Ribeiro, J.M. (Joana Maria), Astudillo, P. (Patricio), de Backer, O. (Ole), R.P.J. Budde (Ricardo), R-J.M. Nuis (Rutger-Jan), J.A. Goudzwaard (Jeannette), N.M. van Mieghem (Nicolas), Lumens, J. (Joost), P. Mortier (Peter), F.U.S. Mattace Raso (Francesco), et al. H. Boersma (Eric), P.A. Cummins (Paul), N. Bruining (Nico) and P.P.T. de Jaegere (Peter)

2021-02-10

Artificial Intelligence and Transcatheter Interventions for Structural Heart Disease: A glance at the (near) future

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Trends in Cardiovascular Medicine

With innovations in therapeutic technologies and changes in population demographics, transcatheter interventions for structural heart disease have become the preferred treatment and will keep growing. Yet, a thorough clinical selection and efficient pathway from diagnosis to treatment and follow-up are mandatory. In this review we reflect on how artificial intelligence may help to improve patient selection, pre-procedural planning, procedure execution and follow-up so to establish efficient and high quality health care in an increasing number of patients.

Additional Metadata
Keywords Artificial Intelligence, Deep Learning, Machine Learning, Structural Heart Disease, Transcatheter Interventions
Persistent URL doi.org/10.1016/j.tcm.2021.02.002, hdl.handle.net/1765/135063
Journal Trends in Cardiovascular Medicine
Organisation Department of Cardiology
Citation
Ribeiro, J.M. (Joana Maria), Astudillo, P. (Patricio), de Backer, O. (Ole), Budde, R., Nuis, R.-J., Goudzwaard, J., … de Jaegere, P. (2021). Artificial Intelligence and Transcatheter Interventions for Structural Heart Disease: A glance at the (near) future. Trends in Cardiovascular Medicine. doi:10.1016/j.tcm.2021.02.002
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