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Machine Learning and Artificial Intelligence in Cardiovascular Imaging

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Book cover CT of the Heart

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

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Abstract

Cardiovascular imaging is playing an increasingly important role in the management of cardiovascular disease. As new imaging technologies are constantly being introduced, this has only been bolstered. Computer systems have always provided assistance to radiologists in their clinical routine, but recent advancements in computational power and the improvement in machine learning algorithms have introduced new possibilities and applications for these systems. In this chapter, a brief overview of machine learning and artificial intelligence will be presented, discussing its applications in medicine and radiology, with a special focus on cardiovascular imaging applications.

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Authors and Affiliations

  1. Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA

    Marwen Eid, James V. Spearman, Marly van Assen, Scott P. Landreth, Brian Jacobs & Carlo N. De Cecco

  2. Department of Radiological Sciences, Oncological and Pathological Sciences, University of Rome “Sapienza”, Latina, Italy

    Domenico De Santis

  3. Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA

    Domenico De Santis

  4. Siemens Medical Solutions USA, Inc., Malvern, PA, USA

    Pooyan Sahbaee

  5. Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA

    Carlo N. De Cecco

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  1. Department of Radiology, Center for Advanced Imaging Research (CAIR), Medical University of South Carolina, Charleston, SC, USA

    U. Joseph Schoepf

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Eid, M. et al. (2019). Machine Learning and Artificial Intelligence in Cardiovascular Imaging. In: Schoepf, U. (eds) CT of the Heart. Contemporary Medical Imaging. Humana, Totowa, NJ. https://doi.org/10.1007/978-1-60327-237-7_68

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