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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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Detalles Bibliográficos
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:
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
Descripción
Sumario: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.