Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group.

Journal: Radiography (London, England : 1995)
Published Date: Aug 20, 2021

Abstract

INTRODUCTION: Artificial intelligence (AI) has started to be increasingly adopted in medical imaging and radiotherapy clinical practice, however research, education and partnerships have not really caught up yet to facilitate a safe and effective transition. The aim of the document is to provide baseline guidance for radiographers working in the field of AI in education, research, clinical practice and stakeholder partnerships. The guideline is intended for use by the multi-professional clinical imaging and radiotherapy teams, including all staff, volunteers, students and learners.

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.
  • S McFadden
    School of Health Sciences, Ulster University, Belfast, Northern Ireland, BT37OQB, UK.
  • Y McQuinlan
    Mirada Medical, UK; Honorary Dosimetrist, Guy's and St Thomas' NHS Trust, UK.
  • A England
    The Discipline of Medical Imaging and Radiation Therapy, University College Cork, College Road, T12 K8AF Cork, Ireland.
  • N Woznitza
    Radiology Department, University College London Hospitals, UK; School of Allied and Public Health Professions Canterbury Christ Church University, UK.
  • S Goldsworthy
    Beacon Radiotherapy, Musgrove Park Hospital, Somerset NHS Foundation Trust, Taunton, TA1 5DA, UK.
  • C Currie
    Programme Lead MSc Diagnostic Imaging, Glasgow Caledonian University, UK; MRI Specialist Radiographer, Queen Elizabeth University Hospital, Glasgow, UK.
  • E Skelton
    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.
  • K-Y Chu
    Department of Oncology, University of Oxford, UK; Radiotherapy Department, Oxford University Hospitals, NHS FT, UK.
  • N Alware
    King George Hospital, BHRUT NHS Trust, London, UK.
  • P Matthews
    Diagnostic Imaging Department, Surrey & Sussex Healthcare NHS Trust, UK.
  • R Hawkesford
    SABR Radiotherapy Lead at UHCW Coventry, UK.
  • R Tucker
    School of Allied Health and Social Care, College of Health, Psychology and Social Care, University of Derby, UK; Radiology Department, Nottingham University Hospital NHS Trust, UK.
  • W Town
    Dartford and Gravesham NHS Trust, UK.
  • J Matthew
    Department of Radiography, Division of Midwifery and Radiography, School of Health Sciences, City, University of London, Northampton Square, London, EC1V 0HB, UK; School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK.
  • C Kalinka
    Society and College of Radiographers, UK; Programme Manager, Strategic Programme Unit, NHS Collaborative, Wales, United Kingdom.
  • T O'Regan
    The Society and College of Radiographers, 207 Providence Square, Mill Street, London, UK.

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