Black box no more: A cross-sectional multi-disciplinary survey for exploring governance and guiding adoption of AI in medical imaging and radiotherapy in the UK.

Abstract

Authors

• Nikolaos Stogiannos
  Division of Midwifery and Radiography, School of Health Sciences, City University of London, London, UK.
• Lia Litosseliti
  School of Health & Psychological Sciences, City, University of London, UK. Electronic address: l.litosseliti@city.ac.uk.
• Tracy O'Regan
  The Society and College of Radiographers, 207 Providence Square, Mill Street, London, UK.
• Erica Scurr
  The Royal Marsden NHS Foundation Trust, UK. Electronic address: erica.scurr@rmh.nhs.uk.
• Anna Barnes
  King's Technology Evaluation Centre (KiTEC), School of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom.
• Amrita Kumar
  Frimley Health NHS Foundation Trust, Frimley, United Kingdom.
• Rizwan Malik
  Bolton NHS Foundation Trust, Farnworth, United Kingdom.
• Michael Pogose
  Hardian Health, Bolton, United Kingdom.
• Hugh Harvey
  Institute of Cognitive Neurosciences, University College London, Alexandra House, 17-19 Queen Square, Bloomsbury, London WC1N 3AZ, England.
• Mark F McEntee
  Discipline of Medical Imaging and Radiation Therapy, University College Cork, Cork, Ireland.
• Christina Malamateniou
  Division of Midwifery and Radiography, School of Health Sciences, City University of London, London, UK.

Keywords

External Resources