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

doi:10.1093/eurheartj/ehac238

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

Eur Heart J. 2022 Aug 14;43(31):2921-2930. doi: 10.1093/eurheartj/ehac238.

Authors

Maarten van Smeden¹, Georg Heinze², Ben Van Calster^{3

4

5}, Folkert W Asselbergs^{6

7

8}, Panos E Vardas^{9

10}, Nico Bruining¹¹, Peter de Jaegere¹², Jason H Moore¹³, Spiros Denaxas^{8

14}, Anne Laure Boulesteix¹⁵, Karel G M Moons¹

Affiliations

¹ Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, The Netherlands.
² Section for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
³ Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
⁴ EPI Centre, KU Leuven, Leuven, Belgium.
⁵ Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands.
⁶ Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
⁷ Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK.
⁸ Health Data Research UK and Institute of Health Informatics, University College London, London, UK.
⁹ Department of Cardiology, Heraklion University Hospital, Heraklion, Greece.
¹⁰ Heart Sector, Hygeia Hospitals Group, Athens, Greece.
¹¹ Department of Cardiology, Erasmus MC , Thorax Center, Rotterdam, The Netherlands.
¹² Department of Cardiology, Erasmus MC, Thorax Center, Rotterdam, The Netherlands.
¹³ Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
¹⁴ The Alan Turing Institute, London, UK.
¹⁵ Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Germany.

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Artificial Intelligence*
Cardiovascular Diseases*
Health Personnel
Humans
Software

Abstract

Publication types

MeSH terms

Grants and funding