Artificial Intelligence With Deep Learning Enables Assessment of Aortic Aneurysm Diameter and Volume Through Different Computed Tomography Phases

Eur J Vasc Endovasc Surg. 2024 Sep;68(3):408-409. doi: 10.1016/j.ejvs.2024.04.004. Epub 2024 Apr 16.

Authors

Quentin Coastaliou¹, Claire Webster², Colin Bicknell², Anna Pouncey², Eric Ducasse¹, Caroline Caradu³

Affiliations

¹ Bordeaux University Hospital, Department of Vascular Surgery, Bordeaux, France.
² Imperial College London, Department of Vascular Surgery, London, UK.
³ Bordeaux University Hospital, Department of Vascular Surgery, Bordeaux, France. Electronic address: [email protected].

PMID: 38614229
DOI: 10.1016/j.ejvs.2024.04.004

No abstract available

Keywords: Abdominal aortic aneurysm; Artificial intelligence; Automatic segmentation; Deep learning; Endoleak; Endovascular aortic repair.

Publication types

Letter

MeSH terms

Aged
Aortic Aneurysm / diagnostic imaging
Aortic Aneurysm / surgery
Aortic Aneurysm, Abdominal / diagnostic imaging
Aortic Aneurysm, Abdominal / surgery
Artificial Intelligence
Computed Tomography Angiography
Deep Learning*
Humans
Male
Predictive Value of Tests
Radiographic Image Interpretation, Computer-Assisted
Tomography, X-Ray Computed