Advantages, Challenges, and Risks of Artificial Intelligence for Radiologists

  • Erik R. Ranschaert
  • André J. Duerinckx
  • Paul Algra
  • Elmar Kotter
  • Hans Kortman
  • Sergey Morozov


Radiology is a specialty that is closely related to technology and therefore constantly subject to change. Artificial intelligence (AI) based upon machine learning techniques is a development that will have a significant impact on the specialty. In this chapter the question is asked what radiologists can expect from this in the short and long term. Several strategies for development, adaptation, and implementation of AI in radiological practice are presented. The remaining challenges and risks of using AI-based applications are explained, and the most relevant ethical issues are addressed.


Artificial intelligence Radiology Advantages Risks Future 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Erik R. Ranschaert
    • 1
  • André J. Duerinckx
    • 2
  • Paul Algra
    • 3
  • Elmar Kotter
    • 4
  • Hans Kortman
    • 1
  • Sergey Morozov
    • 5
  1. 1.ETZ HospitalTilburgThe Netherlands
  2. 2.Howard University College of Medicine and Howard University HospitalWashington, DCUSA
  3. 3.Department of RadiologyNorthwest Hospital GroupAlkmaarThe Netherlands
  4. 4.Department of RadiologyMedical Center – University of FreiburgFreiburgGermany
  5. 5.Radiology Research and Practical CentreMoscowRussia

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