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RECRUITING
NCT06206369

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

Sponsor: Amsterdam UMC, location VUmc

View on ClinicalTrials.gov

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

OTHER

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