Belgian position paper on implementing artificial intelligence in cardiology: a roadmap from theory to clinical practice

Artificial intelligence (AI) is rapidly revolutionising cardiovascular medicine, offering significant potential to enhance patient outcomes, streamline clinical workflows, and optimise healthcare resource utilisation. However, integrating AI effectively into routine cardiology practice requires overcoming substantial technical, ethical, regulatory, and economic challenges. This position paper provides Belgian cardiologists, healthcare policymakers, and clinical leaders with a clear, pragmatic roadmap for implementing predictive, generative, and agentic AI technologies. We highlight successful real-world examples, outline precise criteria for clinical validation, propose practical reimbursement strategies, and detail steps to address ethical and regulatory obligations, emphasising AI as augmented rather than artificial intelligence. Our goal is to facilitate the safe, effective, and ethical adoption of AI technologies to augment Belgian cardiology practice.

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Publication Details

Journal
Acta cardiologica. Supplementum
Published
2025-11-27
DOI
https://doi.org/10.1080/00015385.2025.2576441
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65

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article

Belgian position paper on implementing artificial intelligence in cardiology: a roadmap from theory to clinical practice

Peter De Jaeger, Philippe B. Bertrand, Pieter Koopman, Rubén Casado-Arroyo et al.
1 citations
Acta cardiologica. Supplementum
Artificial Intelligence in Healthcare and Education
0.65
article

Belgian position paper on implementing artificial intelligence in cardiology: a roadmap from theory to clinical practice

Peter De Jaeger, Philippe B. Bertrand, Pieter Koopman, Rubén Casado-Arroyo, Stéphane Carlier, Michal Nedoszytko, Karl Dujardin, Louise Vander Heyde
article en
1 citations

Abstract

Artificial intelligence (AI) is rapidly revolutionising cardiovascular medicine, offering significant potential to enhance patient outcomes, streamline clinical workflows, and optimise healthcare resource utilisation. However, integrating AI effectively into routine cardiology practice requires overcoming substantial technical, ethical, regulatory, and economic challenges. This position paper provides Belgian cardiologists, healthcare policymakers, and clinical leaders with a clear, pragmatic roadmap for implementing predictive, generative, and agentic AI technologies. We highlight successful real-world examples, outline precise criteria for clinical validation, propose practical reimbursement strategies, and detail steps to address ethical and regulatory obligations, emphasising AI as augmented rather than artificial intelligence. Our goal is to facilitate the safe, effective, and ethical adoption of AI technologies to augment Belgian cardiology practice.

Acta cardiologica. SupplementumVol. 81(1)
Delta Air Lines (United States) (US), Université Libre de Bruxelles (BE), CHU Ambroise Paré (BE), Hôpital de Jolimont (BE), Hartcentrum Hasselt (BE), AZ Delta (BE), Ziekenhuis Oost-Limburg (BE)
Daiichi Sankyo Europe
Openalex Percentile: Top 19%
Artificial Intelligence in Healthcare and Education
0.65
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Belgian position paper on implementing artificial intelligence in cardiology: a roadmap from theory to clinical practice — Peter De Jaeger, Philippe B. Bertrand, et al. · Acta cardiologica. Supplementum (2025) | TGRS Research Map | TGRS