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

Project Information

VASCUL-AID

Grant agreement ID: 101080947

DOI

10.3030/101080947

EC signature date 24 April 2023

Start date 1 May 2023

End date 30 April 2029

Funded under

• Health

Total cost

€ 5 969 125,00

EU contribution

€ 5 969 125,00

Coordinated by

STICHTING AMSTERDAM UMC
Netherlands

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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

Author(s): 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
Published in: European Heart Journal - Digital Health, Issue 6, 2025, ISSN 2634-3916
Publisher: Oxford University Press (OUP)
DOI: 10.1093/EHJDH/ZTAF091

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

Author(s): Sébastien Goffart, Odette Hart, Fabien Lareyre, Lisa Guzzi, Kak Khee Yeung, Hervé Delingette, Manar Khashram, Juliette Raffort
Published in: European Journal of Vascular and Endovascular Surgery, Issue 71, 2026, ISSN 1078-5884
Publisher: 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

Author(s): Venkat AYYALASOMAYAJULA, Kevin M. VEEN, Jelmer M. WOLTERINK, Noeska SMIT, Roosmarie JESSEN, Corrette PLOEM, Kak K. YEUNG
Published in: The Journal of Cardiovascular Surgery, Issue 66, 2025, ISSN 0021-9509
Publisher: 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

Author(s): 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
Published in: Journal of Endovascular Therapy, 2026, ISSN 1526-6028
Publisher: 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

Author(s): 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
Published in: European Journal of Vascular and Endovascular Surgery, Issue 71, 2026, ISSN 1078-5884
Publisher: 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

Author(s): 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
Published in: European Journal of Vascular and Endovascular Surgery, Issue 71, 2026, ISSN 1078-5884
Publisher: Elsevier BV
DOI: 10.1016/J.EJVS.2025.09.022

Lipidomic Signature of Abdominal Aortic Aneurysm and Peripheral Artery Disease

Author(s): 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
Published in: Journal of Proteome Research, Issue 24, 2026, ISSN 1535-3893
Publisher: 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

Author(s): Stefan P. M. Smorenburg, Arjan W. J. Hoksbergen, Kak Khee Yeung, Jelmer M. Wolterink
Published in: Radiology: Artificial Intelligence, Issue 7, 2025, ISSN 2638-6100
Publisher: Radiological Society of North America (RSNA)
DOI: 10.1148/RYAI.240392

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

Author(s): Patryk Rygiel, Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
Published in: arXiv Computer Vision and Pattern Recognition, Issue 2024.15314, 2024, ISSN 2331-8422
Publisher: arXiv Computer Vision and Pattern Recognition
DOI: 10.48550/arXiv.2403.15314

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

Author(s): Sabrina Zwetsloot, Lotte Rijken, Stefan Smorenburg, Venkat Ayyalasomayajula, Vincent Jongkind, Kak Khee Yeung
Published in: SSRN, Issue 4947551, 2024, ISSN 1556-5068
Publisher: SSRN
DOI: 10.2139/ssrn.4947551

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

Author(s): Dieuwertje Alblas, Julian Suk, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
Published in: arXiv Computer Vision and Pattern Recognition, Issue 2311.05400, 2023, ISSN 2331-8422
Publisher: arXiv
DOI: 10.48550/arXiv.2311.05400

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

Author(s): Dieuwertje Alblas, Patryk Rygiel, Julian Suk, Kaj O. Kappe, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
Published in: Artificial Intelligence in Medicine, Issue 172, 2026, ISSN 0933-3657
Publisher: Elsevier BV
DOI: 10.1016/J.ARTMED.2025.103323

A Core Outcome Set for Intact Abdominal Aortic Aneurysms Under Surveillance

Author(s): 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
Published in: Annals of Vascular Surgery, Issue 129, 2026, ISSN 0890-5096
Publisher: 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

Author(s): Sabrina L.M. Zwetsloot, Samira E.M. van Knippenberg, Venkat Ayyalasomayajula, Kak K. Yeung, Vincent Jongkind
Published in: European Journal of Vascular and Endovascular Surgery, Issue 70, 2026, ISSN 1078-5884
Publisher: Elsevier BV
DOI: 10.1016/J.EJVS.2025.06.036

Lipidomic insights on abdominal aortic aneurysm and peripheral arterial disease

Author(s): Helena Beatriz Ferreira, Fábio Trindade, Rita Nogueira-Ferreira, Adelino Leite-Moreira, Rita Ferreira, Marina Dias-Neto, M. Rosário Domingues
Published in: Journal of Molecular Medicine, Issue 103, 2025, ISSN 0946-2716
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/S00109-025-02524-1

From European Standards to Responsible Use of AI in Clinical Practice

Author(s): Roosmarie Jessen, Marieke A.R. Bak, Catelijne C.J. Muller, Helena M. Verkooijen, Kak Khee Yeung, M. Corrette Ploem
Published in: European Journal of Health Law, Issue 32, 2025, ISSN 0929-0273
Publisher: Walter de Gruyter GmbH
DOI: 10.1163/15718093-BJA10143

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

Author(s): Roosmarie Jessen, Kak Khee Yeung, M. Corrette Ploem
Published in: Journal of Endovascular Therapy, 2026, ISSN 1526-6028
Publisher: SAGE Publications
DOI: 10.1177/15266028251388730

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

Author(s): Telmo Baltazar, Fábio Trindade, Rita Nogueira‐Ferreira, Rui Vitorino, Rita Ferreira, Pedro Domingues, Adelino Leite‐Moreira, Marina Dias‐Neto, null null
Published in: PROTEOMICS – Clinical Applications, Issue 20, 2026, ISSN 1862-8346
Publisher: Wiley
DOI: 10.1002/PRCA.70030

Book chapters (1)

Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression

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