Critical Appraisal of Artificial Intelligence-Based Prediction Models for Cardiovascular Disease

MCML Authors

Anne-Laure Boulesteix

Prof. Dr.

Core PI

Biometry in Molecular Medicine

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.

article SHC+22

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European Heart Journal

43.31. Aug. 2022.

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Authors

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

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Links

DOI

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Research Area

 A1 | Statistical Foundations & Explainability