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

Maarten van Smeden, Georg Heinze, Ben Van Calster, Folkert W Asselbergs, Panos E Vardas, Nico Bruining, Peter de Jaegere, Jason H Moore, Spiros Denaxas, Anne-Laure Boulesteix, Karel G M Moons

Research output: Contribution to journalArticleAcademicpeer-review

48 Citations (Scopus)

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
Early online date26 May 2022
DOIs
Publication statusPublished - 14 Aug 2022
Externally publishedYes

Keywords

  • Artificial intelligence
  • Diagnosis
  • Digital health
  • Machine learning
  • Prediction
  • Prognosis

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