Developing Trustworthy Artificial Intelligence (AI)-Driven Tools to Predict Vascular Disease Risk and Progression
Recruiting now
Conditions studied: Aneurysm Abdominal, Peripheral Arterial Disease
In brief
The VASCULAID-RETRO study, within the broader VASCULAID project, aims to create artificial intelligence (AI) algorithms that can predict cardiovascular events and the progression of abdominal aortic aneurysm (AAA) and peripheral arterial disease (PAD). The study plans to gather and analyze data from at least 5000 AAA and 6000 PAD patients, combining existing cohorts and retrospectively collected data. During this project, AI tools will be developed to perform automatic anatomical segmentation and analyses on multimodal imaging. AI prediction algorithms will be developed based on multisource data (imaging, medical history, -omics).
Key facts
- Study ID
- NCT06206369
- Run by
- Amsterdam UMC, location VUmc
- People needed
- 11000
- Starts
- 2023-10-31
- Expected to finish
- 2029-05-01
- Last updated by the study team
- 2024-01-16
Who can join
Age: 40 and older, up to 90. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Males and females, 40-90 years old, with an AAA >3cm. This includes patients with infrarenal, juxtarenal, suprarenal, iliac (defined as 1.5x its normal diameter) aneurysms, as well as mycotic aneurysms. Patients that have had interventions or ruptures will also be included
- Males and females, 40-90 years old, all PAD patients (Fontaine stages 1,2,3, and 4).
You may not qualify if…
- Patients with an ascending, thoracic, thoracoabdominal (type 1-3) aneurysm.
Where it is running
- Hospital District of Helsinki and Uusimaa (HUS) — Helsinki, Finland (enrolling)
- Asklepios kliniken hamburg — Hamburg, Germany (enrolling)
- Amsterdam UMC — Amsterdam, Netherlands (enrolling)
- University Hospital Center of São João — Porto, Portugal (enrolling)
- University Clinical Centre of Serbia — Belgrade, Serbia (enrolling)
- Oxford University Hospitals — Oxford, United Kingdom (enrolling)
Full record on ClinicalTrials.gov
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