Applications of artificial intelligence (AI) in diagnostic radiology: a technography study.

Journal: European radiology
Published Date: Sep 18, 2020

Abstract

OBJECTIVES: Why is there a major gap between the promises of AI and its applications in the domain of diagnostic radiology? To answer this question, we systematically review and critically analyze the AI applications in the radiology domain.

Authors

  • Mohammad Hosein Rezazade Mehrizi
    School of Business and Economics, KIN Center for Digital Innovation, Vrije Universiteit Amsterdam, De Boelelaan 1105, VU Main Building A-wing, 5th floor, 1081 HV, Amsterdam, The Netherlands. m.rezazademehrizi@vu.nl.
  • Peter van Ooijen
    Department of Radiation Oncology, Coordinator Machine Learning Lab, Data Science Center in Health (DASH), University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
  • Milou Homan
    School of Business and Economics, KIN Center for Digital Innovation, Vrije Universiteit Amsterdam, De Boelelaan 1105, VU Main Building A-wing, 5th floor, 1081 HV, Amsterdam, The Netherlands.

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