Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease( )

The medical field has seen a rapid increase in the development of artificial intelligence (AI)-based prediction models. With the introduction of such AI-based prediction model tools and software in cardiovascular patient care, the cardiovascular researcher and healthcare professional are challenged...

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Autores principales: van Smeden, Maarten, Heinze, Georg, Van Calster, Ben, Asselbergs, Folkert W, Vardas, Panos E, Bruining, Nico, de Jaegere, Peter, Moore, Jason H, Denaxas, Spiros, Boulesteix, Anne Laure, Moons, Karel G M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
State of the Art Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9443991/
https://www.ncbi.nlm.nih.gov/pubmed/35639667
http://dx.doi.org/10.1093/eurheartj/ehac238
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author van Smeden, Maarten
Heinze, Georg
Van Calster, Ben
Asselbergs, Folkert W
Vardas, Panos E
Bruining, Nico
de Jaegere, Peter
Moore, Jason H
Denaxas, Spiros
Boulesteix, Anne Laure
Moons, Karel G M
author_facet van Smeden, Maarten
Heinze, Georg
Van Calster, Ben
Asselbergs, Folkert W
Vardas, Panos E
Bruining, Nico
de Jaegere, Peter
Moore, Jason H
Denaxas, Spiros
Boulesteix, Anne Laure
Moons, Karel G M
author_sort van Smeden, Maarten
collection PubMed
description The medical field has seen a rapid increase in the development of artificial intelligence (AI)-based prediction models. With the introduction of such AI-based prediction model tools and software in cardiovascular patient care, the cardiovascular researcher and healthcare professional are challenged to understand the opportunities as well as the limitations of the AI-based predictions. In this article, we present 12 critical questions for cardiovascular health professionals to ask when confronted with an AI-based prediction model. We aim to support medical professionals to distinguish the AI-based prediction models that can add value to patient care from the AI that does not.
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spelling pubmed-94439912022-09-06 Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease( ) van Smeden, Maarten Heinze, Georg Van Calster, Ben Asselbergs, Folkert W Vardas, Panos E Bruining, Nico de Jaegere, Peter Moore, Jason H Denaxas, Spiros Boulesteix, Anne Laure Moons, Karel G M Eur Heart J State of the Art Review The medical field has seen a rapid increase in the development of artificial intelligence (AI)-based prediction models. With the introduction of such AI-based prediction model tools and software in cardiovascular patient care, the cardiovascular researcher and healthcare professional are challenged to understand the opportunities as well as the limitations of the AI-based predictions. In this article, we present 12 critical questions for cardiovascular health professionals to ask when confronted with an AI-based prediction model. We aim to support medical professionals to distinguish the AI-based prediction models that can add value to patient care from the AI that does not. Oxford University Press 2022-05-26 /pmc/articles/PMC9443991/ /pubmed/35639667 http://dx.doi.org/10.1093/eurheartj/ehac238 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the European Society of Cardiology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle State of the Art Review
van Smeden, Maarten
Heinze, Georg
Van Calster, Ben
Asselbergs, Folkert W
Vardas, Panos E
Bruining, Nico
de Jaegere, Peter
Moore, Jason H
Denaxas, Spiros
Boulesteix, Anne Laure
Moons, Karel G M
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease( )
title Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease( )
title_full Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease( )
title_fullStr Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease( )
title_full_unstemmed Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease( )
title_short Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease( )
title_sort critical appraisal of artificial intelligence-based prediction models for cardiovascular disease( )
topic State of the Art Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9443991/
https://www.ncbi.nlm.nih.gov/pubmed/35639667
http://dx.doi.org/10.1093/eurheartj/ehac238
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