Under construction – not a live service
Sign in
Taking people in FinlandNo phase

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

Key facts

Where
Helsinki, FinlandSee the site

Could this be for you?

Answer for yourself. This is not a decision: only the study team can say whether you can take part.

  • Are you between 40 and 90 years old?

Source: NCT06206369, who can take part

Where in Finland

  • Hospital District of Helsinki and Uusimaa (HUS)Helsinki, FinlandContact: Riikka TulamoTaking people

Questions to ask the study team

  1. How often do I need to come in, and for how long each time?
  2. Are travel costs paid?
  3. Can I keep my own doctor?
  4. What happens if I want to stop?

Contact the study team: see the registry record → Contacts and Locations

Print a page for my doctor

Trial details

Who runs it
Amsterdam UMC, location VUmc
Trial code
NCT06206369
Record updated
5 October 2026
Original description
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).Read full original descriptionShow less

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: 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; Males and females,; 40-90 years old,; All PAD patients; all Fontaine stages 1,2,3, and 4.

Exclusion: Patients with solely an ascending, thoracic, thoracoabdominal (type 1-3) aneurysm.

ClinicalTrials.gov NCT06206369