Artificial Intelligence and Transcatheter Interventions for Structural Heart Disease: A glance at the (near) future-Reference-Cited by-同舟云学术

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

Published:2021-02 Issue: Volume: Page:
ISSN:1050-1738
Container-title:Trends in Cardiovascular Medicine
language:en
Short-container-title:Trends in Cardiovascular Medicine

Author:

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

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference76 articles.

1. Transcatheter aortic-valve replacement with a balloon-expandable valve in low-risk patients;Mack;N Engl J Med,2019

2. Transcatheter aortic-valve replacement with a self-expanding valve in low-risk patients;Popma;N Engl J Med,2019

3. Artificial intelligence in precision cardiovascular medicine;Krittanawong;J Am Coll Cardiol,2017

4. Artificial intelligence in cardiovascular imaging: JACC State-of-the-Art Review;Dey;J Am Coll Cardiol,2019

5. Ribeiro J.M., Hokken T.M., Astudillo P., Nuis R.J., de Backer O., Rocatello G., et al. Artificial intelligence and advanced computer modelling in transcatheter interventions for structural heart disease - implications for clinical practice. [in press] 2021

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