Developing Trustworthy Artificial Intelligence (AI)-Driven Tools to Predict Vascular Disease Risk and Progression

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).

NCT Number	NCT06206369
Lead Sponsor	Amsterdam UMC, location VUmc Collaborators: Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA), Technical University of Twente, Universidade do Porto, Centre Hospitalier Universitaire de Nice, Stichting Allai, University of Belgrade, Brightfish Be, Hospital District of Helsinki and Uusimaa, University of Bergen, Asklepios Kliniken Hamburg GmbH, University of Oxford, VINČA INSTITUTE OF NUCLEAR SCIENCES Belgrado
Conditions	Aneurysm Abdominal, Peripheral Arterial Disease
Enrollment	11,000 participants
Start Date	2023-10-31
Primary Completion	2029-05-01 (estimated)
Study Completion	2029-05-01 (estimated)
Updated on ClinicalTrials.gov	2024-01-16