Machine Learning and Artificial Intelligence in Cardiovascular Imaging

  • Marwen Eid
  • James V. Spearman
  • Marly van Assen
  • Domenico De Santis
  • Pooyan Sahbaee
  • Scott P. Landreth
  • Brian Jacobs
  • Carlo N. De Cecco
Part of the Contemporary Medical Imaging book series (CMI)


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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Copyright information

© Humana Press 2019

Authors and Affiliations

  • Marwen Eid
    • 1
  • James V. Spearman
    • 1
  • Marly van Assen
    • 1
  • Domenico De Santis
    • 2
    • 3
  • Pooyan Sahbaee
    • 4
  • Scott P. Landreth
    • 1
  • Brian Jacobs
    • 1
  • Carlo N. De Cecco
    • 1
    • 5
  1. 1.Department of Radiology and Radiological ScienceMedical University of South CarolinaCharlestonUSA
  2. 2.Department of Radiological Sciences, Oncological and Pathological SciencesUniversity of Rome “Sapienza”LatinaItaly
  3. 3.Division of Cardiovascular Imaging, Department of Radiology and Radiological ScienceMedical University of South CarolinaCharlestonUSA
  4. 4.Siemens Medical Solutions USA, Inc.MalvernUSA
  5. 5.Department of Radiology and Imaging SciencesEmory UniversityAtlantaUSA

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