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Contact the study team using the details below to take part. If there are no contact details below please ask your doctor in the first instance.
Lotte Rijken, Msc.
l.rijken@amsterdamumc.nl
Kak Khee Yeung, MD, PhD
+31 6 14278725
k.yeung@amsterdamumc.nl
Aneurysm Abdominal Peripheral Arterial Disease
This information is provided directly by researchers, and we recognise that it isn't always easy to understand. We are working with researchers to improve the accessibility of this information. In some summaries, you may come across links to external websites. These websites will have more information to help you better understand the study.
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).
Start dates may differ between countries and research sites. The research team are responsible for keeping the information up-to-date.
The recruitment start and end dates are as follows:
"Rijken L, Zwetsloot S, Smorenburg S, Wolterink J, Isgum I, Marquering H, van Duivenvoorde J, Ploem C, Jessen R, Catarinella F, Lee R, Bera K, Buisan J, Zhang P, Dias-Neto M, Raffort J, Lareyre F, Muller C, Koncar I, Tomic I, Zivkovic M, Djuric T, Stankovic A, Venermo M, Tulamo R, Behrendt CA, Smit N, Schijven M, van den Born BJ, Delewi R, Jongkind V, Ayyalasomayajula V, Yeung KK. Developing Trustworthy Artificial Intelligence Models to Predict Vascular Disease Progression: the VASCUL-AID-RETRO Study Protocol. J Endovasc Ther. 2025 Feb 7:15266028251313963. doi: 10.1177/15266028251313963. Online ahead of print."; "39921236"
You can take part if:
You may not be able to take part if:
This is in the inclusion criteria above
Below are the locations for where you can take part in the trial. Please note that not all sites may be open.
Kak Khee Yeung, MD, PhD
+31 6 14278725
k.yeung@amsterdamumc.nl
Lotte Rijken, Msc.
l.rijken@amsterdamumc.nl
The study is sponsored by Amsterdam UMC, location VUmc and is in collaboration with Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA); Technical University of Twente; Universidade do Porto; Centre Hospitalier Universitaire de Nice; Stichting Allai; Faculty of Medicine, University of Belgrade; Brightfish Be; Hospital District of Helsinki and Uusimaa; University of Bergen; Asklepios Kliniken Hamburg GmbH; University of Oxford; VINČA INSTITUTE OF NUCLEAR SCIENCES Belgrado.
Your feedback is important to us. It will help us improve the quality of the study information on this site. Please answer both questions.
You can print or share the study information with your GP/healthcare provider or contact the research team directly.
