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

Journal: European heart journal
Published Date: Aug 14, 2022

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.

Authors

  • Maarten van Smeden
    Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
  • Georg Heinze
    Section for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
  • Ben Van Calster
  • Folkert W Asselbergs
  • Panos E Vardas
    Department of Cardiology, Heraklion University Hospital, Heraklion, Greece.
  • Nico Bruining
    Department of Cardiology, Thoraxcenter, Erasmus Medical Center, Rotterdam, the Netherlands.
  • Peter de Jaegere
    Department of Cardiology, Erasmus MC, Thorax Center, Rotterdam, The Netherlands.
  • Jason H Moore
    University of Pennsylvania, Philadelphia, PA, USA.
  • Spiros Denaxas
    UCL Institute of Health Informatics and Farr Institute of Health Informatics Research, London, United Kingdom.
  • Anne Laure Boulesteix
    Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Germany.
  • Karel G M Moons
    Julius Center for Health Sciences and Primary Care, and Cochrane Netherlands, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.

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