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

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).

Conditions

• Aneurysm Abdominal
• Peripheral Arterial Disease

Interventions

OTHER

No intervention, retrospective study

No intervention, retrospective study

Sponsors & Collaborators

• Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)

  collaborator OTHER

• Technical University of Twente

  collaborator OTHER

• Universidade do Porto

  collaborator OTHER

• Centre Hospitalier Universitaire de Nice

  collaborator OTHER

• Stichting Allai

  collaborator UNKNOWN

• Faculty of Medicine, University of Belgrade

  collaborator UNKNOWN

• Brightfish Be

  collaborator UNKNOWN

• Hospital District of Helsinki and Uusimaa

  collaborator OTHER

• University of Bergen

  collaborator OTHER

• Asklepios Kliniken Hamburg GmbH

  collaborator OTHER

• University of Oxford

  collaborator OTHER

• VINČA INSTITUTE OF NUCLEAR SCIENCES Belgrado

  collaborator UNKNOWN

• Amsterdam UMC, location VUmc

  lead OTHER

Eligibility

Min Age

40 Years

Max Age

90 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2023-10-31

Primary Completion

2029-05-01

Completion

2029-05-01

Countries

• Finland
• Germany
• Netherlands
• Portugal
• Serbia
• United Kingdom

Study Locations