DEVELOPING TRUSTWORTHY ARTIFICIAL INTELLIGENCE (AI)-DRIVEN TOOLS TO PREDICT VASCULAR DISEASE RISK AND PROGRESSION

Informations projet

VASCUL-AID

N° de convention de subvention: 101080947

DOI

10.3030/101080947

Date de signature de la CE 24 Avril 2023

Date de début 1 Mai 2023

Date de fin 30 Avril 2029

Financé au titre de

• Health

Coût total

€ 5 969 125,00

Contribution de l’UE

€ 5 969 125,00

Coordonné par

STICHTING AMSTERDAM UMC
Netherlands

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (8)

Submission package RETRO-VASCULAID-AAA clinical DATA study

Submission package RETRO-VASCULAID-AAA clinical DATA study (ethical approval, final study protocol, registry nr) prior to first enrolment.RETRO-VASCULAID-AAA clinical DATA study: retrospective data collection of 5000 patients at clinical partners (Annex Clinical Studies).

Protocol and SOPs for collection of data for each data type

Protocol and SOPs for collection of data (medical images and pathological analysis) for each data type

A functional design describing the architecture and data flows that will be forming the apps

A functional design describing the architectureand data flows that will be forming the apps will be delivered.

Submission package PRO-VASCULAID-AAA clinical DATA study

Submission package PRO-VASCULAID-AAA clinical DATA study (ethical approval, final study protocol, registry nr, national authorities) prior to first enrolment.PRO-VASCULAID-AAA clinical DATA study: prospective data collection of 350 patients (phase I) at clinical partners (Annex Clinical Studies).

Submission package RETRO-VASCULAID-PAD clinical DATA study

Submission package RETRO-VASCULAID-PAD clinical DATA study (ethical approval, final study protocol, registry nr) prior to first enrolment.RETRO-VASCULAID-PAD clinical DATA study: retrospective data collection of 6000 patients at clinical partners (Annex Clinical Studies).

Standardised set of parameters to evaluate data outcome measurements

Standardised set of parameters defined to evaluate the data outcome measurements.

Project management handbook, month 1

Periodic reports with templates (no deliverable) as instructed by the PO.

Submission package PRO-VASCULAID-PAD clinical DATA study

Submission package PRO-VASCULAID-PAD clinical DATA study (ethical approval, final study protocol, registry nr, national authorities) prior to first enrolment.PRO-VASCULAID-PAD clinical DATA study: prospective data collection of 420 patients (phase I) at clinical partners (Annex Clinical Studies).

Other (5)

HELSI AI framework updates (M12)
Trustworthy AI in healthcare procedures: guidelines (M12)
A secure and redundant SaaS platform to host the apps

A secure and redundant SaaS platform to hostthe apps is established.

PAA segmentation algorithm established
Aorta segmentation algorithm established

Data Management Plan (1)

Data management plan

Ethics Requirements (1)

AI - OEI - Requirement No. 1

Ethics report of External Ethics Advisor:Due to sensitivity of the use of AI as a decision-making tool, an External Independent Ethics Advisor must be appointed to support the beneficiaries to identify the ethical concerns. An ethics report by the ethics advisor must be submitted at M3 with a view to the first ethics check. Details must be provided regarding AI decision-making support tool, and notably on human agency aspects of the involved clinicians. European Commission guidelines on AI can be found at the following link: https://ec.europa.eu/info/funding-tenders/opportunities/docs/2021-2027/horizon/guidance/ethics-by-design-and-ethics-of-use-approaches-for-artificial-intelligence_he_en.pdf The European Commission Guidance for Ethics Advisors/Boards can be found in the FTOP at the following link: https://ec.europa.eu/info/funding-tenders/opportunities/docs/2021-2027/horizon/guidance/roles-and-functions-of-ethics-advisory-ethics-advisory-boards-in-ec-funded-projects_he_en.pdf.

Websites, patent fillings, videos etc. (3)

Communication, Dissemination and Exploitation plan
Website VASCUL-AID online
Social media accounts online

Publications

Peer reviewed articles (18)

The development of a data dictionary with clinical variables for artificial intelligence-driven tools in research on abdominal aortic aneurysms and peripheral arterial disease

Auteurs: Lotte Rijken, Sabrina L M Zwetsloot, Catelijne Muller, Marlies P Schijven, Vincent Jongkind, Kak Khee Yeung, null null, Igor Koncar, Ivan Tomic, Marina Dias-Neto, Katarzyna D Bera, Riikka Tulamo, Maarit Venermo, Mirjami Laivuori, Christian-Alexander Behrendt, Stefan P M Smorenburg, Corrette Ploem, Roosmarie Jessen, Bert-Jan H van den Born, Ronak Delewi, Jelmer Wolterink, Noeska Smit, Ivana Išgum, Henk A Marquering, Fabio Catarinella, Fabien Lareyre, Juliette Raffort, Maja Živković, Tamara Djuric, Aleksandra Stankovic, null null, Rupert Bauersachs, Manar Khashram
Publié dans: European Heart Journal - Digital Health, Numéro 6, 2025, ISSN 2634-3916
Éditeur: Oxford University Press (OUP)
DOI: 10.1093/EHJDH/ZTAF091

Deep Learning Strategies for Predicting Amputation Free Survival in Patients with Peripheral Artery Disease

Auteurs: Sébastien Goffart, Odette Hart, Fabien Lareyre, Lisa Guzzi, Kak Khee Yeung, Hervé Delingette, Manar Khashram, Juliette Raffort
Publié dans: European Journal of Vascular and Endovascular Surgery, Numéro 71, 2026, ISSN 1078-5884
Éditeur: Elsevier BV
DOI: 10.1016/J.EJVS.2025.10.043

Artificial intelligence-based decision support systems and their role in vascular surgery and clinical practice

Auteurs: Venkat AYYALASOMAYAJULA, Kevin M. VEEN, Jelmer M. WOLTERINK, Noeska SMIT, Roosmarie JESSEN, Corrette PLOEM, Kak K. YEUNG
Publié dans: The Journal of Cardiovascular Surgery, Numéro 66, 2025, ISSN 0021-9509
Éditeur: Edizioni Minerva Medica
DOI: 10.23736/S0021-9509.25.13491-5

Developing Trustworthy Artificial Intelligence Models to Predict Vascular Disease Progression: the VASCUL-AID-RETRO Study Protocol

Auteurs: Lotte Rijken, Sabrina Zwetsloot, Stefan Smorenburg, Jelmer Wolterink, Ivana Išgum, Henk Marquering, Jan van Duivenvoorde, Corrette Ploem, Roosmarie Jessen, Fabio Catarinella, Regent Lee, Katarzyna Bera, Jenny Buisan, Ping Zhang, Marina Dias-Neto, Juliette Raffort, Fabien Lareyre, Catelijne Muller, Igor Koncar, Ivan Tomic, Maja Živković, Tamara Djuric, Aleksandra Stankovic, Maarit Venermo, Riikka Tulamo, Christian-Alexander Behrendt, Noeska Smit, Marlies Schijven, Bert-Jan van den Born, Ronak Delewi, Vincent Jongkind, Venkat Ayyalasomayajula, Kak Khee Yeung
Publié dans: Journal of Endovascular Therapy, 2026, ISSN 1526-6028
Éditeur: SAGE Publications
DOI: 10.1177/15266028251313963

Artificial Intelligence Based Mobile Health Applications for Patients with Abdominal Aortic Aneurysms and Peripheral Arterial Disease: Patients’ and Healthcare Workers’ Attitudes

Auteurs: Sabrina LM. Zwetsloot, Lotte Rijken, Ivan Tomic, Kasia Bera, Vincent Jongkind, Kak Khee Yeung, Jelter M. Wolterink, Ivana Išgum, Henk A. Marquering, M. Corrette Ploem, Fabio Catarinella, Regent Lee, Jenny Buisan, Ping Zhang, Juliette Raffort, Catelijne Muller, Igor Koncar, David Matejevic, Maja Živković, Tamara Djuric, Aleksandra Stankovic, Riikka Tulamo, Maarit Venermo, Mirjami Laivuori, Marlies P. Schijven, Bert-Jan H. van den Born, Ronak Delewi, Stefan P.M. Smorenburg, Venkat Ayyalasomayajula, Rupert Bauersachs, Fabien Lareyre, Marina Dias-Neto, Christian-Alexander Behrendt, Noeska N. Smit
Publié dans: European Journal of Vascular and Endovascular Surgery, Numéro 71, 2026, ISSN 1078-5884
Éditeur: Elsevier BV
DOI: 10.1016/J.EJVS.2025.12.002

Editor's Choice – A Core Outcome Set for Patients with Chronic Symptomatic Peripheral Arterial Disease

Auteurs: Sabrina L.M. Zwetsloot, Lotte Rijken, Igor Koncar, Ivan Tomic, Marina Dias-Neto, Regent Lee, Riikka Tulamo, Christian-Alexander Behrendt, Fabien Lareyre, Noeska N. Smit, Vincent Jongkind, Kak Khee Yeung, Jelter M. Wolterink, Ivana Išgum, Henk A. Marquering, M. Corrette Ploem, Fabio Catarinella, Kasia D. Bera, Jenny Buisan, Ping Zhang, Juliette Raffort, Catelijne Muller, Igor Koncar, David Matejevic, Maja Živković, Tamara Djuric, Aleksandra Stankovic, Maarit Venermo, Mirjami Laivuori, Marlies P. Schijven, Bert J.H. van den Born, Ronak Delewi, Stefan P.M. Smorenburg, Venkat Ayyalasomayajula, Rupert Bauersachs, Petteri Kauhanen, Katariina Noronen, João Rocha Neves, Cátia Martins Barbosa, Dinis Pereira Dias, Carlos Dias da Silva, João Silva Barbosa, Miroslav Markovic, Denise Nio, Michiel Warlé, Anna Teeuw, Bahaa Nasr
Publié dans: European Journal of Vascular and Endovascular Surgery, Numéro 71, 2026, ISSN 1078-5884
Éditeur: Elsevier BV
DOI: 10.1016/J.EJVS.2025.09.022

Lipidomic Signature of Abdominal Aortic Aneurysm and Peripheral Artery Disease

Auteurs: Helena Beatriz Ferreira, Tara van Merrienboer, Inês M. S. Guerra, Tânia Melo, Kak Khee Yeung, Venkat Ayyalasomayajula, Fábio Trindade, Rita Nogueira-Ferreira, Adelino Leite-Moreira, Laura Goracci, Rita Ferreira, M. Rosário Domingues, Marina Dias-Neto, null null
Publié dans: Journal of Proteome Research, Numéro 24, 2026, ISSN 1535-3893
Éditeur: American Chemical Society (ACS)
DOI: 10.1021/ACS.JPROTEOME.5C00293

Multitask Deep Learning for Automated Detection of Endoleak at Digital Subtraction Angiography during Endovascular Aneurysm Repair

Auteurs: Stefan P. M. Smorenburg, Arjan W. J. Hoksbergen, Kak Khee Yeung, Jelmer M. Wolterink
Publié dans: Radiology: Artificial Intelligence, Numéro 7, 2025, ISSN 2638-6100
Éditeur: Radiological Society of North America (RSNA)
DOI: 10.1148/RYAI.240392

Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation

Auteurs: Patryk Rygiel, Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
Publié dans: arXiv Computer Vision and Pattern Recognition, Numéro 2024.15314, 2024, ISSN 2331-8422
Éditeur: arXiv Computer Vision and Pattern Recognition
DOI: 10.48550/arXiv.2403.15314

International Consensus on Core Outcomes in Vascular Surgery: A Delphi Study Protocol

Auteurs: Sabrina Zwetsloot, Lotte Rijken, Stefan Smorenburg, Venkat Ayyalasomayajula, Vincent Jongkind, Kak Khee Yeung
Publié dans: SSRN, Numéro 4947551, 2024, ISSN 1556-5068
Éditeur: SSRN
DOI: 10.2139/ssrn.4947551

SIRE: scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks

Auteurs: Dieuwertje Alblas, Julian Suk, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
Publié dans: arXiv Computer Vision and Pattern Recognition, Numéro 2311.05400, 2023, ISSN 2331-8422
Éditeur: arXiv
DOI: 10.48550/arXiv.2311.05400

Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces

Auteurs: Dieuwertje Alblas, Patryk Rygiel, Julian Suk, Kaj O. Kappe, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
Publié dans: Artificial Intelligence in Medicine, Numéro 172, 2026, ISSN 0933-3657
Éditeur: Elsevier BV
DOI: 10.1016/J.ARTMED.2025.103323

A Core Outcome Set for Intact Abdominal Aortic Aneurysms Under Surveillance

Auteurs: Sabrina L.M. Zwetsloot, Lotte Rijken, Igor Koncar, Marina Dias-Neto, Regent Lee, Riikka Tulamo, Christian-Alexander Behrendt, Fabien Lareyre, Noeska N. Smit, Stefan P.M. Smorenburg, Venkat Ayyalasomayajula, Vincent Jongkind, Kak Khee Yeung, J.M. Wolterink, I. Išgum, H.A. Marquering, M.C. Ploem, F. Catarinella, K.D. Bera, J. Buisan, P. Zhang, J. Raffort, C. Muller, I. Tomic, D. Matejevic, M. Živković, T. Djuric, A. Stankovic, M. Venermot, M.P. Schijvent, B.J.H. van den Born, R. Delewi, R. Bauersachst, P. Aho, P. Björkman, M. Lavuori, J. Fernando Teixeira, C. Martins Barbosa, D. Pereira Dias, C. Dias da Silva, J. Silva Barbosa, M. Markovic, D. Nio, M. Warlé, P. Rygiel, M. Loncaric
Publié dans: Annals of Vascular Surgery, Numéro 129, 2026, ISSN 0890-5096
Éditeur: Elsevier BV
DOI: 10.1016/J.AVSG.2026.03.013

Identification of Clinical and Patient Reported Outcomes for Patients with Intact Abdominal Aortic Aneurysms Not Undergoing Repair: A Systematic Review

Auteurs: Sabrina L.M. Zwetsloot, Samira E.M. van Knippenberg, Venkat Ayyalasomayajula, Kak K. Yeung, Vincent Jongkind
Publié dans: European Journal of Vascular and Endovascular Surgery, Numéro 70, 2026, ISSN 1078-5884
Éditeur: Elsevier BV
DOI: 10.1016/J.EJVS.2025.06.036

Lipidomic insights on abdominal aortic aneurysm and peripheral arterial disease

Auteurs: Helena Beatriz Ferreira, Fábio Trindade, Rita Nogueira-Ferreira, Adelino Leite-Moreira, Rita Ferreira, Marina Dias-Neto, M. Rosário Domingues
Publié dans: Journal of Molecular Medicine, Numéro 103, 2025, ISSN 0946-2716
Éditeur: Springer Science and Business Media LLC
DOI: 10.1007/S00109-025-02524-1

From European Standards to Responsible Use of AI in Clinical Practice

Auteurs: Roosmarie Jessen, Marieke A.R. Bak, Catelijne C.J. Muller, Helena M. Verkooijen, Kak Khee Yeung, M. Corrette Ploem
Publié dans: European Journal of Health Law, Numéro 32, 2025, ISSN 0929-0273
Éditeur: Walter de Gruyter GmbH
DOI: 10.1163/15718093-BJA10143

AI Act Demands for Responsible Innovation: Where to go From Here?

Auteurs: Roosmarie Jessen, Kak Khee Yeung, M. Corrette Ploem
Publié dans: Journal of Endovascular Therapy, 2026, ISSN 1526-6028
Éditeur: SAGE Publications
DOI: 10.1177/15266028251388730

A Standard Operating Procedure for Protein Extraction From Abdominal Aortic Aneurysm Tissue: Enhancing Proteomics Applications

Auteurs: Telmo Baltazar, Fábio Trindade, Rita Nogueira‐Ferreira, Rui Vitorino, Rita Ferreira, Pedro Domingues, Adelino Leite‐Moreira, Marina Dias‐Neto, null null
Publié dans: PROTEOMICS – Clinical Applications, Numéro 20, 2026, ISSN 1862-8346
Éditeur: Wiley
DOI: 10.1002/PRCA.70030

Book chapters (1)

Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression

Auteurs: Dieuwertje Alblas, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
Publié dans: Lecture Notes in Computer Science, Functional Imaging and Modeling of the Heart, 2023, ISSN 1611-3349
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-35302-4_37