Vilacosta I, San RJA, di BR, Eagle K, Estrera AL, Ferrera C, Kaji S, Nienaber CA, Riambau V, Sch äfers H-J, Serrano FJ, Song J-K, Maroto L (2021) Acute Aortic Syndrome Revisited. J Am Coll Cardiol 78:2106–2125. https://doi.org/10.1016/j.jacc.2021.09.022

Article  PubMed  Google Scholar 

Bossone E, Eagle KA (2021) Epidemiology and management of aortic disease: aortic aneurysms and acute aortic syndromes. Nat Rev Cardiol 18:331–348. https://doi.org/10.1038/s41569-020-00472-6

Article  PubMed  Google Scholar 

Wundram M, Falk V, Eulert-Grehn J-J, Herbst H, Thurau J, Leidel BA, Göncz E, Bauer W, Habazettl H, Kurz SD (2020) Incidence of acute type A aortic dissection in emergency departments. Sci Rep 10:7434. https://doi.org/10.1038/s41598-020-64299-4

Article  CAS  PubMed  PubMed Central  Google Scholar 

Benkert AR, Gaca JG (2021) Initial Medical Management of Acute Aortic Syndromes. In: Sellke FW, Coselli JS, Sundt TM, Bavaria JE, Sodha NR (eds) Aortic Dissection and Acute Aortic Syndromes. Springer International Publishing, Cham, pp 119–129

Chapter  Google Scholar 

Orabi NA, Quint LE, Watcharotone K, Nan B, Williams DM, Kim KM (2018) Distinguishing acute from chronic aortic dissections using CT imaging features. Int J Cardiovasc Imaging 34:1831–1840. https://doi.org/10.1007/s10554-018-1398-x

Article  PubMed  Google Scholar 

Dreisbach JG, Rodrigues JC, Roditi G (2021) Emergency CT misdiagnosis in acute aortic syndrome. Br J Radiol 94:20201294. https://doi.org/10.1259/bjr.20201294

Article  PubMed  Google Scholar 

Nienaber CA, Clough RE (2015) Management of acute aortic dissection. The Lancet 385:800–811. https://doi.org/10.1016/S0140-6736(14)61005-9

Article  Google Scholar 

Harris KM, Strauss CE, Eagle KA, Hirsch AT, Isselbacher EM, Tsai TT, Shiran H, Fattori R, Evangelista A, Cooper JV, Montgomery DG, Froehlich JB, Nienaber CA, null null (2011) Correlates of Delayed Recognition and Treatment of Acute Type A Aortic Dissection. Circulation 124:1911–1918. https://doi.org/10.1161/CIRCULATIONAHA.110.006320

Article  PubMed  Google Scholar 

Liu J, Varghese B, Taravat F, Eibschutz LS, Gholamrezanezhad A (2022) An Extra Set of Intelligent Eyes: Application of Artificial Intelligence in Imaging of Abdominopelvic Pathologies in Emergency Radiology. Diagn Basel Switz 12:1351. https://doi.org/10.3390/diagnostics12061351

Article  Google Scholar 

Yi Y, Mao L, Wang C, Guo Y, Luo X, Jia D, Lei Y, Pan J, Li J, Li S, Li X-L, Jin Z, Wang Y (2022) Advanced Warning of Aortic Dissection on Non-Contrast CT: The Combination of Deep Learning and Morphological Characteristics. Front Cardiovasc Med 8.

He K, Zhang X, Ren S, Sun J (2015) Deep Residual Learning for Image Recognition

Chen S, Ma K, Zheng Y (2019) Med3D: Transfer Learning for 3D Medical Image Analysis

Hata A, Yanagawa M, Yamagata K, Suzuki Y, Kido S, Kawata A, Doi S, Yoshida Y, Miyata T, Tsubamoto M, Kikuchi N, Tomiyama N (2021) Deep learning algorithm for detection of aortic dissection on non-contrast-enhanced CT. Eur Radiol 31:1151–1159. https://doi.org/10.1007/s00330-020-07213-w

Article  PubMed  Google Scholar 

Chollet F (2017) Xception: Deep Learning with Depthwise Separable Convolutions

Deng J, Dong W, Socher R, Li L-J, Li K, Fei-Fei L (2009) ImageNet: A large-scale hierarchical image database. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition. pp 248–255

Huang L-T, Tsai Y-S, Liou C-F, Lee T-H, Kuo P-TP, Huang H-S, Wang C-K (2021) Automated Stanford classification of aortic dissection using a 2-step hierarchical neural network at computed tomography angiography. Eur Radiol. https://doi.org/10.1007/s00330-021-08370-2

Article  PubMed  PubMed Central  Google Scholar 

Aggregated Residual Transformations for Deep Neural Networks | IEEE Conference Publication | IEEE Xplore. https://ieeexplore.ieee.org/document/8100117. Accessed 22 May 2024

Harris RJ, Kim S, Lohr J, Towey S, Velichkovich Z, Kabachenko T, Driscoll I, Baker B (2019) Classification of Aortic Dissection and Rupture on Post-contrast CT Images Using a Convolutional Neural Network. J Digit Imaging 32:939–946. https://doi.org/10.1007/s10278-019-00281-5

Article  PubMed  PubMed Central  Google Scholar 

Cheng J, Tian S, Yu L, Ma X, Xing Y (2020) A deep learning algorithm using contrast-enhanced computed tomography (CT) images for segmentation and rapid automatic detection of aortic dissection. Biomed Signal Process Control 62:102145. https://doi.org/10.1016/j.bspc.2020.102145

Article  Google Scholar 

Yellapragada MS, Xie Y, Graf B, Richmond D, Krishnan A, Sitek A (2020) Deep Learning Based Detection of Acute Aortic Syndrome in Contrast CT Images. In: 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). pp 1474–1477

Guo T, Fang Z, Yang G, Zhou Y, Ding N, Peng W, Gong X, He H, Pan X, Chai X (2021) Machine Learning Models for Predicting In-Hospital Mortality in Acute Aortic Dissection Patients. Front Cardiovasc Med 8:727773. https://doi.org/10.3389/fcvm.2021.727773

Article  CAS  PubMed  PubMed Central  Google Scholar 

Golla A-K, Tönnes C, Russ T, Bauer DF, Froelich MF, Diehl SJ, Schoenberg SO, Keese M, Schad LR, Zöllner FG, Rink JS (2021) Automated Screening for Abdominal Aortic Aneurysm in CT Scans under Clinical Conditions Using Deep Learning. Diagn Basel Switz 11:2131. https://doi.org/10.3390/diagnostics11112131

Article  Google Scholar 

Yao Z, Xie W, Zhang J, Dong Y, Qiu H, Yuan H, Jia Q, Wang T, Shi Y, Zhuang J, Que L, Xu X, Huang M (2021) ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection. Front Physiol 12:

Radl L, Jin Y, Pepe A, Li J, Gsaxner C, Zhao F-H, Egger J (2022) AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks. Data Brief 40:107801. https://doi.org/10.1016/j.dib.2022.107801

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ma J, Zhang Y, Gu S, Zhu C, Ge C, Zhang Y, An X, Wang C, Wang Q, Liu X, Cao S, Zhang Q, Liu S, Wang Y, Li Y, He J, Yang X (2022) AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem? IEEE Trans Pattern Anal Mach Intell 44:6695–6714. https://doi.org/10.1109/TPAMI.2021.3100536

Article  PubMed  Google Scholar 

Wasserthal J, Breit H-C, Meyer MT, Pradella M, Hinck D, Sauter AW, Heye T, Boll DT, Cyriac J, Yang S, Bach M, Segeroth M (2023) TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images. Radiol Artif Intell 5:e230024. https://doi.org/10.1148/ryai.230024

Article  PubMed  PubMed Central  Google Scholar 

Javidan AP, Li A, Lee MH, Forbes TL, Naji F (2022) A Systematic Review and Bibliometric Analysis of Applications of Artificial Intelligence and Machine Learning in Vascular Surgery. Ann Vasc Surg 85:395–405. https://doi.org/10.1016/j.avsg.2022.03.019

Article  PubMed  Google Scholar 

Hahn LD, Mistelbauer G, Higashigaito K, Koci M, Willemink MJ, Sailer AM, Fischbein M, Fleischmann D (2020) CT-based True- and False-Lumen Segmentation in Type B Aortic Dissection Using Machine Learning. Radiol Cardiothorac Imaging 2:e190179. https://doi.org/10.1148/ryct.2020190179

Article  PubMed  PubMed Central  Google Scholar 

Li B, Feridooni T, Cuen-Ojeda C, Kishibe T, de Mestral C, Mamdani M, Al-Omran M (2022) Machine learning in vascular surgery: a systematic review and critical appraisal. NPJ Digit Med 5:7. https://doi.org/10.1038/s41746-021-00552-y

Article  PubMed  PubMed Central  Google Scholar 

Mastrodicasa D, Codari M, Bäumler K, Sandfort V, Shen J, Mistelbauer G, Hahn LD, Turner VL, Desjardins B, Willemink MJ, Fleischmann D (2022) Artificial Intelligence Applications in Aortic Dissection Imaging. Semin Roentgenol 57:357–363. https://doi.org/10.1053/j.ro.2022.07.001

Article  PubMed  PubMed Central  Google Scholar 

Lee DK, Kim JH, Oh J, Kim TH, Yoon MS, Im DJ, Chung JH, Byun H (2022) Detection of acute thoracic aortic dissection based on plain chest radiography and a residual neural network (Resnet). Sci Rep 12:21884. https://doi.org/10.1038/s41598-022-26486-3

Article  CAS  PubMed  PubMed Central  Google Scholar 

Chen D, Zhang X, Mei Y, Liao F, Xu H, Li Z, Xiao Q, Guo W, Zhang H, Yan T, Xiong J, Ventikos Y (2021) Multi-stage learning for segmentation of aortic dissections using a prior aortic anatomy simplification. Med Image Anal 69:101931. https://doi.org/10.1016/j.media.2020.101931

Article  PubMed  Google Scholar 

Nienaber CA, von Kodolitsch Y, Nicolas V, Siglow V, Piepho A, Brockhoff C, Koschyk DH, Spielmann RP (1993) The diagnosis of thoracic aortic dissection by noninvasive imaging procedures. N Engl J Med 328:1–9. https://doi.org/10.1056/NEJM199301073280101

Article  CAS  PubMed  Google Scholar 

Fujimori R, Liu K, Soeno S, Naraba H, Ogura K, Hara K, Sonoo T, Ogura T, Nakamura K, Goto T (2022) Acceptance, Barriers, and Facilitators to Implementing Artificial Intelligence-Based Decision Support Systems in Emergency Departments: Quantitative and Qualitative Evaluation. JMIR Form Res 6:e36501. https://doi.org/10.2196/36501

Article  PubMed  PubMed Central  Google Scholar 

Eltawil FA, Atalla M, Boulos E, Amirabadi A, Tyrrell PN (2023) Analyzing Barriers and Enablers for the Acceptance of Artificial Intelligence Innovations into Radiology Practice: A Scoping Review. Tomogr Ann Arbor Mich 9:1443–1455. https://doi.org/10.3390/tomography9040115

Article