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

Joana Maria Ribeiro, Patricio Astudillo, Ole de Backer, Ricardo Budde, Rutger Jan Nuis, Jeanette Goudzwaard, Nicolas M Van Mieghem, Joost Lumens, Peter Mortier, Francesco Mattace-Raso, Eric Boersma, Paul Cummins, Nico Bruining, Peter Pt de Jaegere

19 Citations (Scopus)

Abstract

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.

Original languageEnglish
JournalTrends in Cardiovascular Medicine
Volume32
Issue number3
Pages (from-to)153-159
Number of pages7
ISSN1050-1738
DOIs
Publication statusPublished - 2022

Keywords

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Transcatheter Interventions
  • Structural Heart Disease

Fingerprint

Dive into the research topics of 'Artificial Intelligence and Transcatheter Interventions for Structural Heart Disease: A glance at the (near) future'. Together they form a unique fingerprint.

Cite this