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We retrospectively evaluated 73 thoraco-abdominal CTAs (48 AAA and 25 control CTA) by means of a DL-based segmentation pipeline built on a 2.5D convolutional neural network (CNN) architecture to segment lumen and thrombus of the aorta. The maximum aortic diameter of the abdominal tract was compared using a threshold value (30\u00a0mm). Blinded manual measurements from a radiologist were done in order to create a true comparison. The screening pipeline was tested on 48 patients with aneurysm and 25 without aneurysm. The average diameter manually measured was 51.1\u2009\u00b1\u200914.4\u00a0mm for patients with aneurysms and 21.7\u2009\u00b1\u20093.6\u00a0mm for patients without aneurysms. The pipeline correctly classified 47 AAA out of 48 and 24 control patients out of 25 with 97% accuracy, 98% sensitivity, and 96% specificity. The automated pipeline of aneurysm measurements in the abdominal tract reported a median error with regard to the maximum abdominal diameter measurement of 1.3\u00a0mm. Our approach allowed for the maximum diameter of 51.2\u2009\u00b1\u200914.3\u00a0mm in patients with aneurysm and 22.0\u2009\u00b1\u20094.0\u00a0mm in patients without an aneurysm. The DL-based screening for AAA is a feasible and accurate method, calling for further validation using a larger pool of diagnostic images towards its clinical use.<\/jats:p>","DOI":"10.1007\/s10278-023-00866-1","type":"journal-article","created":{"date-parts":[[2023,7,5]],"date-time":"2023-07-05T21:01:44Z","timestamp":1688590904000},"page":"2125-2137","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Artificial Intelligence Application to Screen Abdominal Aortic Aneurysm Using Computed tomography Angiography"],"prefix":"10.1007","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6373-0199","authenticated-orcid":false,"given":"Giovanni","family":"Spinella","sequence":"first","affiliation":[]},{"given":"Alice","family":"Fantazzini","sequence":"additional","affiliation":[]},{"given":"Alice","family":"Finotello","sequence":"additional","affiliation":[]},{"given":"Elena","family":"Vincenzi","sequence":"additional","affiliation":[]},{"given":"Gian Antonio","family":"Boschetti","sequence":"additional","affiliation":[]},{"given":"Francesca","family":"Brutti","sequence":"additional","affiliation":[]},{"given":"Marco","family":"Magliocco","sequence":"additional","affiliation":[]},{"given":"Bianca","family":"Pane","sequence":"additional","affiliation":[]},{"given":"Curzio","family":"Basso","sequence":"additional","affiliation":[]},{"given":"Michele","family":"Conti","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,7,5]]},"reference":[{"issue":"1","key":"866_CR1","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.ejvs.2018.09.020","volume":"57","author":"A Wanhainen","year":"2019","unstructured":"Wanhainen A, Verzini F, Van Herzeele I, Allaire E, Bown M, Cohnert T, Dick, F., van Herwaarden J, Karkos C, Koelemay M, K\u00f6lbel T, Loftus I, Mani K, Melissano G, Powell J, Szeberin Z, Esvs Guidelines Committee, de Borst GJ, Chakfe N, Debus S, Verhagen H: Editor's Choice - European Society for Vascular Surgery (ESVS) 2019 Clinical practice guidelines on the management of abdominal aorto-iliac artery aneurysms. 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