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

M. Van Smeden*, G. Heinze, B. Van Calster, F. W. Asselbergs, P. E. Vardas, N. Bruining, P. De Jaegere, J. H. Moore, S. Denaxas, A. L. Boulesteix, K. G. M. Moons

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

60 Citations (Scopus)
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Abstract

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.

Original languageEnglish
Pages (from-to)2921-2930
Number of pages10
JournalEuropean Heart Journal
Volume43
Issue number31
DOIs
Publication statusPublished - 14 Aug 2022

Bibliographical note

Publisher Copyright:
© 2022 The Author(s). Published by Oxford University Press on behalf of the European Society of Cardiology.

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