Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease
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Publication date
2022-08-14
Authors
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
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Document Type
Article
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cc_by_nc
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.
Keywords
Artificial intelligence, Diagnosis, Digital health, Machine learning, Prediction, Prognosis, Cardiology and Cardiovascular Medicine
Citation
van Smeden, M, Heinze, G, Van Calster, B, Asselbergs, F W, Vardas, P E, Bruining, N, de Jaegere, P, Moore, J H, Denaxas, S, Boulesteix, A-L & Moons, K G M 2022, 'Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease', European heart journal, vol. 43, no. 31, pp. 2921-2930. https://doi.org/10.1093/eurheartj/ehac238