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.

Artificial Intelligence, Deep Learning, Machine Learning, Structural Heart Disease, Transcatheter Interventions
dx.doi.org/10.1016/j.tcm.2021.02.002, hdl.handle.net/1765/135063
Trends in Cardiovascular Medicine
Department of Cardiology

Ribeiro, J.M. (Joana Maria), Astudillo, P. (Patricio), de Backer, O. (Ole), Budde, R.P.J, Nuis, R-J.M, Goudzwaard, J.A, … de Jaegere, P.P.T. (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