Developing Trustworthy Artificial Intelligence Models to Predict Vascular Disease Progression: the VASCUL-AID-RETRO Study Protocol
The VASCUL-AID-RETRO study aims to improve clinical practice of vascular surgery by developing artificial intelligence-driven multimodal predictive models for patients with abdominal aortic aneurysms or peripheral artery disease, enhancing personalized medicine. By integrating comprehensive data sets including clinical, imaging, and multi-omics data, these models have the potential to provide accurate risk stratification for disease progression and cardiovascular events. An innovation lies in the extensive European data set in combination with multimodal analyses approaches, which enables the development of advanced models to facilitate better understanding of disease mechanisms and progression. For clinicians, this means that more precise, individualized treatment plans can be established, ultimately aiming to improve patient outcomes.
Authors
- Fabio S Catarinella (ORCID: https://orcid.org/0000-0003-0761-4956)
- Bert‐Jan H. van den Born (ORCID: https://orcid.org/0000-0003-0943-4393)
- Henk A. Marquering (ORCID: https://orcid.org/0000-0002-1414-6313)
- Tamara Djurić (ORCID: https://orcid.org/0000-0002-9857-9828)
- Christian‐Alexander Behrendt (ORCID: https://orcid.org/0000-0003-0406-3319)
- Igor Končar (ORCID: https://orcid.org/0000-0002-4873-2775)
- Jelmer M. Wolterink (ORCID: https://orcid.org/0000-0001-5505-475X)
- Venkat Ayyalasomayajula (ORCID: https://orcid.org/0000-0002-0158-6723)
- Katarzyna D. Bera (ORCID: https://orcid.org/0000-0003-3795-6762)
- Aleksandra Stanković (ORCID: https://orcid.org/0000-0002-1050-5913)
- Maarit Venermo (ORCID: https://orcid.org/0000-0001-8814-0988)
- Maja Živković (ORCID: https://orcid.org/0000-0002-0447-6626)
- Ping Zhang (ORCID: https://orcid.org/0000-0001-7063-7769)
- Juliette Raffort (ORCID: https://orcid.org/0000-0002-6105-1958)
- Fabien Lareyre (ORCID: https://orcid.org/0000-0002-6765-8021)
- Noeska Smit (ORCID: https://orcid.org/0000-0002-3719-4625)
- Regent Lee (ORCID: https://orcid.org/0000-0001-8621-5165)
- Marina Dias‐Neto (ORCID: https://orcid.org/0000-0002-7934-2016)
- Carsten Müller
- Stefan P.M. Smorenburg (ORCID: https://orcid.org/0000-0002-4754-3016)
- M.C. Ploem (ORCID: https://orcid.org/0000-0003-1466-0619)
- Ivan Tomić (ORCID: https://orcid.org/0000-0003-2460-8259)
- Ivana Išgum (ORCID: https://orcid.org/0000-0003-1869-5034)
- Kak Khee Yeung (ORCID: https://orcid.org/0000-0002-8455-286X)
- Vincent Jongkind (ORCID: https://orcid.org/0000-0003-0129-1607)
- Ronak Delewi (ORCID: https://orcid.org/0000-0001-6070-9423)
- Marlies P. Schijven (ORCID: https://orcid.org/0000-0001-7013-0116)
- Lotte Rijken (ORCID: https://orcid.org/0009-0008-9271-1868)
- Riikka Tulamo
- Sabrina Zwetsloot
- Jenny Buisan
- Jan van Duivenvoorde
- Roosmarie Jessen (ORCID: https://orcid.org/0009-0006-1353-5524)
Institutions
- Centre National de la Recherche Scientifique (FR)
- University of Helsinki (FI)
- Universidade do Porto (PT)
- Université Côte d'Azur (FR)
- Helsinki University Hospital (FI)
- Haukeland University Hospital (NO)
- Hospital de São João (PT)
- University of Oxford (GB)
- University of Belgrade (RS)
- MSH Medical School Hamburg – University of Applied Sciences and Medical University (DE)
- Centre Procédés, Energies Renouvelables et Systèmes Energétiques (FR)
- Amsterdam University Medical Centers (NL)
- Western Digital (Netherlands) (NL)
- Asklepios (DE)
- University of Bergen (NO)
- Vrije Universiteit Amsterdam (NL)
- University of Amsterdam (NL)
- University of Twente (NL)
Publication Details
- Journal
- Journal of Endovascular Therapy
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1177/15266028251313963
- Citations
- 14
- Primary Topic
- Aortic aneurysm repair treatments
- Type
- article
- Field-Weighted Citation Impact
- 21.26
Funders
- European Commission
- HORIZON EUROPE Framework Programme
- HORIZON EUROPE Health