Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease-Reference-Cited by-同舟云学术

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

Published:2022-05-26 Issue:31 Volume:43 Page:2921-2930
ISSN:0195-668X
Container-title:European Heart Journal
language:en
Short-container-title:

Author:

van Smeden Maarten¹^ORCID,Heinze Georg²^ORCID,Van Calster Ben³⁴⁵^ORCID,Asselbergs Folkert W⁶⁷⁸,Vardas Panos E⁹¹⁰^ORCID,Bruining Nico¹¹^ORCID,de Jaegere Peter¹²,Moore Jason H¹³,Denaxas Spiros⁸¹⁴^ORCID,Boulesteix Anne Laure¹⁵,Moons Karel G M¹

Affiliation:

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

AbstractThe 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.

Funder

UCL Hospitals, NIHR Biomedical Research Centre

Innovative Medicines Initiative-2 joint undertaking under grant agreement

National Institutes of Health

German Research Foundation

Federal Ministry of Education and Research

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine

Link

https://academic.oup.com/eurheartj/article-pdf/43/31/2921/45333809/ehac238.pdf