Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease
Maarten van Smeden, Georg Heinze, Ben Van Calster, Folkert W. Asselbergs, Panos Vardas, Nico Bruining, Peter de Jaegere, Jason H. Moore, Spiros Denaxas, Anne‐Laure Boulesteix, Karel G. M. Moons
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.