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

Maarten van SmedenGeorg HeinzeBen Van CalsterFolkert W AsselbergsPanos E VardasNico BruiningPeter de JaegereJason H MooreSpiros DenaxasAnne Laure BoulesteixKarel G M Moons
Published in: European heart journal (2022)
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.
Keyphrases
  • artificial intelligence
  • machine learning
  • healthcare
  • big data
  • deep learning
  • cardiovascular disease
  • type diabetes
  • social media
  • cardiovascular events
  • cardiovascular risk factors
  • quantum dots