Individual risk assessment for rupture of abdominal aortic aneurysm using artificial intelligence
This study successfully developed a SHAPFire AI tool to identify AAAs at increased risk of rupture with significantly higher accuracy than diameter alone. External validation of the model is warranted before clinical implementation.
Authors
- Axel Cosmus Pyndt Diederichsen (ORCID: https://orcid.org/0000-0002-1285-4826)
- Joachim Sejr Skovbo (ORCID: https://orcid.org/0000-0001-6108-0153)
- Lasse M. Obel (ORCID: https://orcid.org/0000-0003-0037-8962)
- Jes S. Lindholt (ORCID: https://orcid.org/0000-0001-9536-4488)
- Malene Laursen
- Nicoline Mathiessen Andersen
- Kim Christian Houlind (ORCID: https://orcid.org/0000-0002-1600-4415)
- Andreas Stoklund Riis
Institutions
- University of Southern Denmark (DK)
- Odense University Hospital (DK)
- Lillebaelt Hospital (DK)
Publication Details
- Journal
- Journal of Vascular Surgery
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1016/j.jvs.2024.11.017
- Citations
- 9
- Primary Topic
- Aortic aneurysm repair treatments
- Type
- article
- Field-Weighted Citation Impact
- 3.77
Funders
- Danmarks Frie Forskningsfond