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Artificial Intelligence-Based Evaluation of the Aorta

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Artificial Intelligence in Cardiothoracic Imaging

Part of the book series: Contemporary Medical Imaging ((CMI))

Abstract

Machine learning (ML) and deep learning (DL) algorithms have recently gained traction in the field of aortic imaging for their potential to provide novel insights and to standardize the extraction of imaging features while delivering accurate and reproducible results. With DL algorithms, it is now possible to model complex relationships within vast imaging and clinical datasets. In this chapter, we highlighted the most recent ML and DL applications in image segmentation, image classification, and outcome prediction of patients with aortic dissection and abdominal aortic aneurysm.

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Author information

Authors and Affiliations

  1. Department of Radiology, Stanford University School of Medicine, Center for Academic Medicine, Palo Alto, CA, USA

    Domenico Mastrodicasa & Martin J. Willemink

  2. Department of Radiology, School of Medicine, Stanford University, Stanford, CA, USA

    Marina Codari, Valery L. Turner, Virginia Hinostroza, Kathrin Bäumler & Dominik Fleischmann

  3. Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA

    Martin J. Willemink

  4. Cardiovascular Institute, Stanford University, Stanford, CA, USA

    Dominik Fleischmann

Authors
  1. Domenico Mastrodicasa
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  2. Marina Codari
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  3. Valery L. Turner
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  4. Virginia Hinostroza
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  5. Kathrin Bäumler
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  6. Martin J. Willemink
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  7. Dominik Fleischmann
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Corresponding author

Correspondence to Domenico Mastrodicasa .

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Editors and Affiliations

  1. Division of Cardiothoracic Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA

    Carlo N. De Cecco

  2. Division of Cardiothoracic Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA

    Marly van Assen

  3. Department of Radiology, Mayo Clinic, Rochester, MN, USA

    Tim Leiner

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Mastrodicasa, D. et al. (2022). Artificial Intelligence-Based Evaluation of the Aorta. In: De Cecco, C.N., van Assen, M., Leiner, T. (eds) Artificial Intelligence in Cardiothoracic Imaging. Contemporary Medical Imaging. Humana, Cham. https://doi.org/10.1007/978-3-030-92087-6_47

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  • DOI: https://doi.org/10.1007/978-3-030-92087-6_47

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