Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/47881
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dc.contributor.authorDujardin, Karl-
dc.contributor.authorVander Heyde, Louise-
dc.contributor.authorCarlier, Stephane-
dc.contributor.authorBERTRAND, Philippe-
dc.contributor.authorKOOPMAN, Pieter-
dc.contributor.authorNedoszytko, Michal-
dc.contributor.authorCasado-Arroyo, Ruben-
dc.contributor.authorDE JAEGER, Peter-
dc.date.accessioned2025-12-10T13:34:40Z-
dc.date.available2025-12-10T13:34:40Z-
dc.date.issued2025-
dc.date.submitted2025-12-08T17:13:24Z-
dc.identifier.citationActa Cardiologica,-
dc.identifier.urihttp://hdl.handle.net/1942/47881-
dc.description.abstractArtificial 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.-
dc.description.sponsorshipFunding The development of this paper was supported by Daiichi Sankyo via the provision of editorial support via a medical writer and via the organisation of a Digital Health Think Tank initiative that engaged 20 Belgian cardiologists to explore the future of AI in cardiology. Acknowledgements The authors gratefully acknowledge Valerie Storms, Ir, PhD, Head of Digital Health Innovation – EU Mid Sized Countries at Daiichi Sankyo, Cile Populaire, PharmD, Medical Science Liaison Cardiovascular at Daiichi Sankyo, Jo Van der Auwera (FibriCheck), and Tom Feys, biomedical sciences PhD and medical writer, for their valuable strategic input, editorial suggestions, and insightful discussions during the preparation of this manuscript.-
dc.language.isoen-
dc.publisherTAYLOR & FRANCIS LTD-
dc.rights2025 the Author(s). Published by informa UK limited, trading as taylor & Francis group. This is an open Access article distributed under the terms of the creative commons Attribution-Noncommercial-Noderivatives license (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed,or built upon in any way. the terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with theirconsent.-
dc.subject.otherCardiology-
dc.subject.otherartificial intelligence-
dc.subject.otherclinical integration-
dc.titleBelgian position paper on implementing artificial intelligence in cardiology: a roadmap from theory to clinical practice-
dc.typeJournal Contribution-
local.format.pages16-
local.bibliographicCitation.jcatA1-
dc.description.notesDujardin, K (corresponding author), AZ Delta, Roeselare, Belgium.-
dc.description.noteskarl.dujardin@azdelta.be-
local.publisher.place2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND-
local.type.refereedRefereed-
local.type.specifiedReview-
local.bibliographicCitation.statusEarly view-
dc.identifier.doi10.1080/00015385.2025.2576441-
dc.identifier.pmid41307920-
dc.identifier.isi001626122300001-
local.provider.typewosris-
local.description.affiliation[Dujardin, Karl; Vander Heyde, Louise; De Jaeger, Peter] AZ Delta, Roeselare, Belgium.-
local.description.affiliation[Carlier, Stephane] CHU Ambroise Pare, Mons, Belgium.-
local.description.affiliation[Bertrand, Philippe] Ziekenhuis Oost Limburg, Genk, Belgium.-
local.description.affiliation[Koopman, Pieter] Hartcent Hasselt, Hasselt, Belgium.-
local.description.affiliation[Nedoszytko, Michal] Pole Hosp Jolimont, Mons, Warquignies, Belgium.-
local.description.affiliation[Casado-Arroyo, Ruben] Univ Libre Bruxelles, HUB Hop Erasme, Dept Cardiol, Brussels, Belgium.-
local.uhasselt.internationalno-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
item.fullcitationDujardin, Karl; Vander Heyde, Louise; Carlier, Stephane; BERTRAND, Philippe; KOOPMAN, Pieter; Nedoszytko, Michal; Casado-Arroyo, Ruben & DE JAEGER, Peter (2025) Belgian position paper on implementing artificial intelligence in cardiology: a roadmap from theory to clinical practice. In: Acta Cardiologica,.-
item.contributorDujardin, Karl-
item.contributorVander Heyde, Louise-
item.contributorCarlier, Stephane-
item.contributorBERTRAND, Philippe-
item.contributorKOOPMAN, Pieter-
item.contributorNedoszytko, Michal-
item.contributorCasado-Arroyo, Ruben-
item.contributorDE JAEGER, Peter-
crisitem.journal.issn0001-5385-
crisitem.journal.eissn1784-973X-
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