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).

Inclusion Criteria AAA: * Males and females * 40-90 years old, * Infrarenal, juxtarenal, suprarenal, iliac aneurysms (defined as 1.5x its normal diameter), and mycotic aneurysms. * Starting AAA diameter \>3cm, * Patients that both have had or did not have interventions or ruptures. Exclusion Criteria AAA: * Patients with solely an ascending, thoracic, thoracoabdominal (type 1-3) aneurysm. Inclusion Criteria PAD: * Males and females, * 40-90 years old, * All PAD patients; all Fontaine stages 1,2,3, and 4. Exclusion Criteria PAD: None