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

doi:10.1016/j.tcm.2021.02.002

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^*

^*Corresponding author for this work

Research output: Contribution to journal › (Systematic) Review article › peer-review

5 Citations (Web of Science)

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 language	English
Pages (from-to)	153-159
Number of pages	7
Journal	Trends in Cardiovascular Medicine
Volume	32
Issue number	3
Early online date	10 Feb 2021
DOIs	https://doi.org/10.1016/j.tcm.2021.02.002
Publication status	Published - Apr 2022

Keywords

Artificial Intelligence
Machine Learning
Deep Learning
Transcatheter Interventions
Structural Heart Disease
COMPUTER-SIMULATION
ATRIAL-FIBRILLATION
VALVE
SEGMENTATION
PREDICTION
SURGERY
CT
REGURGITATION
ASSOCIATION
CARDIOLOGY

Access to Document

10.1016/j.tcm.2021.02.002

Cite this

Ribeiro, J. M., Astudillo, P., de Backer, O., Budde, R., Nuis, R. J., Goudzwaard, J., Van Mieghem, N. M., Lumens, J., Mortier, P., Mattace-Raso, F., Boersma, E., Cummins, P., Bruining, N., & de Jaegere, P. P. (2022). Artificial Intelligence and Transcatheter Interventions for Structural Heart Disease: A glance at the (near) future. Trends in Cardiovascular Medicine, 32(3), 153-159. https://doi.org/10.1016/j.tcm.2021.02.002

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

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.",

keywords = "Artificial Intelligence, Machine Learning, Deep Learning, Transcatheter Interventions, Structural Heart Disease, COMPUTER-SIMULATION, ATRIAL-FIBRILLATION, VALVE, SEGMENTATION, PREDICTION, SURGERY, CT, REGURGITATION, ASSOCIATION, CARDIOLOGY",

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

note = "Copyright {\textcopyright} 2021. Published by Elsevier Inc.",

year = "2022",

month = apr,

doi = "10.1016/j.tcm.2021.02.002",

language = "English",

volume = "32",

pages = "153--159",

journal = "Trends in Cardiovascular Medicine",

issn = "1050-1738",

publisher = "Elsevier Inc.",

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Ribeiro, JM, Astudillo, P, de Backer, O, Budde, R, Nuis, RJ, Goudzwaard, J, Van Mieghem, NM, Lumens, J, Mortier, P, Mattace-Raso, F, Boersma, E, Cummins, P, Bruining, N & de Jaegere, PP 2022, 'Artificial Intelligence and Transcatheter Interventions for Structural Heart Disease: A glance at the (near) future', Trends in Cardiovascular Medicine, vol. 32, no. 3, pp. 153-159. https://doi.org/10.1016/j.tcm.2021.02.002

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T1 - Artificial Intelligence and Transcatheter Interventions for Structural Heart Disease

T2 - A glance at the (near) future

AU - Ribeiro, Joana Maria

AU - Astudillo, Patricio

AU - de Backer, Ole

AU - Budde, Ricardo

AU - Nuis, Rutger Jan

AU - Goudzwaard, Jeanette

AU - Van Mieghem, Nicolas M

AU - Lumens, Joost

AU - Mortier, Peter

AU - Mattace-Raso, Francesco

AU - Boersma, Eric

AU - Cummins, Paul

AU - Bruining, Nico

AU - de Jaegere, Peter Pt

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AB - 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.

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KW - Machine Learning

KW - Deep Learning

KW - Transcatheter Interventions

KW - Structural Heart Disease

KW - COMPUTER-SIMULATION

KW - ATRIAL-FIBRILLATION

KW - VALVE

KW - SEGMENTATION

KW - PREDICTION

KW - SURGERY

KW - CT

KW - REGURGITATION

KW - ASSOCIATION

KW - CARDIOLOGY

U2 - 10.1016/j.tcm.2021.02.002

DO - 10.1016/j.tcm.2021.02.002

M3 - (Systematic) Review article

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SN - 1050-1738

VL - 32

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JO - Trends in Cardiovascular Medicine

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