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.
Keywords: Artificial Intelligence; Deep Learning; Machine Learning; Structural Heart Disease; Transcatheter Interventions.
Copyright © 2021. Published by Elsevier Inc.