The impact of artificial intelligence on clinical education: perceptions of postgraduate trainee doctors in London (UK) and recommendations for trainers.

Journal: BMC medical education
PMID: 34391424

Abstract

BACKGROUND: Artificial intelligence (AI) technologies are increasingly used in clinical practice. Although there is robust evidence that AI innovations can improve patient care, reduce clinicians' workload and increase efficiency, their impact on medical training and education remains unclear.

Authors

  • Maya Banerjee
    University College London, Gower Street, London, WC1E 6BT, UK.
  • Daphne Chiew
    Imperial College London, Exhibition Road, London, SW7 2AZ, UK.
  • Keval T Patel
    Guy's & St. Thomas' NHS Foundation Trust, Westminster Bridge Road, London, SE1 7EH, UK.
  • Ieuan Johns
    Imperial College Healthcare NHS Trust, Du Cane Road, London, W12 0HS, UK.
  • Digby Chappell
    Imperial College London, Exhibition Road, London, SW7 2AZ, UK.
  • Nick Linton
    Imperial College Healthcare NHS Trust, Du Cane Road, London, W12 0HS, UK.
  • Graham D Cole
    Department of Cardiology, National Heart and Lung Institute, Imperial College London, London, United Kingdom.
  • Darrel P Francis
    Department of Cardiology, National Heart and Lung Institute, Imperial College London, London, United Kingdom.
  • Jo Szram
    Royal College of Physicians, 11 St. Andrews Place, London, NW1 4LE, UK.
  • Jack Ross
    Guy's & St. Thomas' NHS Foundation Trust, Westminster Bridge Road, London, SE1 7EH, UK.
  • Sameer Zaman
    Department of Computing, National Heart and Lung Institute, Imperial College London, Imperial College Healthcare NHS Trust, London, UK.

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