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Developing Trustworthy Artificial Intelligence (AI)-Driven Tools to Predict Vascular Disease Risk and Progression
Sponsor: Amsterdam UMC, location VUmc
Summary
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 Details
Gender
All
Age Range
40 Years - 90 Years
Study Type
OBSERVATIONAL
Enrollment
11000
Start Date
2023-10-31
Completion Date
2029-05-01
Last Updated
2024-01-16
Healthy Volunteers
No
Interventions
No intervention, retrospective study
No intervention, retrospective study
Locations (6)
Hospital District of Helsinki and Uusimaa (HUS)
Helsinki, Finland
Asklepios kliniken hamburg
Hamburg, Germany
Amsterdam UMC
Amsterdam, Netherlands
University Hospital Center of São João
Porto, Portugal
University Clinical Centre of Serbia
Belgrade, Serbia
Oxford University Hospitals
Oxford, United Kingdom