Developing Trustworthy Artificial Intelligence (AI)-Driven Tools to Predict Vascular Disease Risk and Progression: the Prospective VASCUL-AID Study
NCT ID: NCT07187700
Last Updated: 2025-09-23
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
NOT_YET_RECRUITING
1100 participants
OBSERVATIONAL
2025-09-30
2030-12-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Peripheral arterial disease (PAD) and abdominal aortic aneurysm (AAA) are vascular conditions associated with significant morbidity and mortality, with 25% of AAA patients and 23% of PAD patients being at a high risk of developing cardiovascular disease. Cardiovascular risk management can reduce the risk of major adverse cardiovascular events in AAA patients from 43% to 14%. However, cardiovascular risk is not always adequately addressed in these patients. The VASCUL-AID-PRO study aims to deliver clinically relevant prediction models using artificial intelligence and machine learning of patient outcomes to enable personalized management of vascular disease.
Method:
VASCUL-AID-PRO is a multi-centre international prospective cross-sectional study aiming to include 500 AAA patients and 600 PAD patients across 6 European centres. The aim is to achieve a follow-up time up to 4 years.
The study will include individuals aged 40-90 with either an abdominal aortic aneurysm (infrarenal, juxtarenal, pararenal, or suprarenal abdominal aortic aneurysm) or Fontaine stage 2 peripheral arterial disease.
The VASCUL-AID-PRO study will gather a variety of data from all participants, including clinical data, blood and tissue samples, cardiovascular lab values, imaging data, electrocardiograms, data from wearables and quality of life.
This data gathered will be used to further develop the multi model prediction models being developed on 5000 AAA and 6000 PAD patients included in the currently ongoing VASCUL-AID-RETRO study, with the aim of providing a clinically relevant prediction models of disease progression and other cardiovascular disease for AAA and PAD patients.
Furthermore, the models developed in the VASCUL-AID studies will be internally validated using a subset of patients from the VASCUL-AID-PRO study.
Ethical considerations:
Ethical and legal considerations are paramount throughout the VASCUL-AID project. To address these concerns, an ELSI framework will be developed and integrated into all stages of the project. This framework will be continuously updated to ensure alignment with evolving ethical, legal, and social standards. This framework will specifically focus on patient safety, data handling, AI regulation and implementation, and potential biases associated with AI.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Developing Trustworthy Artificial Intelligence (AI)-Driven Tools to Predict Vascular Disease Risk and Progression
NCT06206369
AI-enhanced Imaging Analysis to Predict Post-EVAR
NCT06592105
REGISTRY on the Implementation of Artificial Intelligence in the Automatic Analysis of Vascular Network Segmentation
NCT06451315
Prediction of Abdominal Aortic Aneurysm Shrinkage After Stent-placement With Artificial Intelligence
NCT06250998
Comparison of Outcomes of Complex Abdominal Aortic Aneurysm Treatment
NCT04773223
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
PROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
AAA
* Males/females between 40 and 90 years of age.
* Males and females with AAA at inclusion, any diameter \>3 cm (or 1.5x larger than their non-dilated part of the aorta).
* Include: infrarenal, juxtarenal, pararenal, suprarenal abdominal aortic aneurysms.
Without prior AAA surgery or or planned AAA surgery within 6 months after inclusion.
No interventions assigned to this group
PAD
* Males/females between 40 and 90 years of age.
* Patients with peripheral arterial disease stage Fontaine 2a and 2b at inclusion. Medical history (e.g. CLTI) does not matter, current disease stage is leading at inclusion.
No interventions assigned to this group
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Males and females with AAA at inclusion, any diameter \>3 cm (or 1.5x larger than their non-dilated part of the aorta).
* Include: infrarenal, juxtarenal, pararenal, suprarenal abdominal aortic aneurysms.
* Males/females between 40 and 90 years of age.
* Patients with peripheral arterial disease stage Fontaine 2a and 2b at inclusion. Medical history (e.g. CLTI) does not matter, current disease stage is leading at inclusion.
Exclusion Criteria
* Insufficient schooling or sensorial deficits that interfere understanding informed consent.
* Not able to use the VASCUL-AID mobile health app (that will be provided in Dutch, English, German, Portuguese, Serbian, Finish, Swedish languages).
* Proven or highly suspected for infected, mycotic AAA
* Previous AAA surgery or planned for an AAA surgery within 6 months
* Ruptured AAA
Patients with:
* Insufficient schooling or sensorial deficits that interfere understanding informed consent.
* Not able to use the VASCUL-AID mobile health app (provided in Dutch, English, German, Portuguese, Serbian, Finnish, Swedish languages).
40 Years
90 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Amsterdam UMC, location VUmc
OTHER
Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
OTHER
Brightfish
UNKNOWN
Technical University of Twente
OTHER
Universidade do Porto
OTHER
Aveiro University
OTHER
Centro Hospitalar De São João, E.P.E.
OTHER
Stichting Allai
UNKNOWN
Faculty of Medicine, University of Belgrade
UNKNOWN
Hospital District of Helsinki and Uusimaa
OTHER
VINČA INSTITUTE OF NUCLEAR SCIENCES Belgrado
UNKNOWN
University of Bergen
OTHER
Asklepios Kliniken Hamburg GmbH
OTHER
Centre Hospitalier Universitaire de Nice
OTHER
University of Oxford
OTHER
Amsterdam UMC
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Associate Prof. Dr. Kak Khee Yeung
Prof. Dr.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Prof. Dr. K.K. Yeung, MD, PhdD, FEBVS
Role: PRINCIPAL_INVESTIGATOR
Amsterdam UMC
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Related Links
Access external resources that provide additional context or updates about the study.
The consortium website with further information regarding the incorporated studies.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
2025.0042
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.