Artificial intelligence in radiography: Where are we now and what does the future hold?

Journal: Radiography (London, England : 1995)
Published Date: Aug 8, 2021

Abstract

OBJECTIVES: This paper will outline the status and basic principles of artificial intelligence (AI) in radiography along with some thoughts and suggestions on what the future might hold. While the authors are not always able to separate the current status from future developments in this field, given the speed of innovation in AI, every effort has been made to give a view to the present with projections to the future.

Authors

  • C Malamateniou
    Department of Radiography, Division of Midwifery and Radiography, School of Health Sciences, City, University of London, Northampton Square, London, EC1V 0HB, UK; Perinatal Imaging and Health, King's College, London, UK. Electronic address: christina.malamateniou@city.ac.uk.
  • K M Knapp
    University of Exeter, Exeter, UK.
  • M Pergola
    American Society of Radiologic Technologists, NM, USA. Electronic address: mpergola@asrt.org.
  • N Woznitza
    Radiology Department, University College London Hospitals, UK; School of Allied and Public Health Professions Canterbury Christ Church University, UK.
  • M Hardy
    University of Bradford, Bradford, UK.

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