Could ChatGPT Pass the UK Radiology Fellowship Examinations?

Journal: Academic radiology
Published Date:

Abstract

RATIONALE AND OBJECTIVES: Chat Generative Pre-trained Transformer (ChatGPT) is an artificial intelligence (AI) tool which utilises machine learning to generate original text resembling human language. AI models have recently demonstrated remarkable ability at analysing and solving problems, including passing professional examinations. We investigate the performance of ChatGPT on some of the UK radiology fellowship equivalent examination questions.

Authors

  • Sisith Ariyaratne
    Department of Musculoskeletal Radiology, The Royal Orthopedic Hospital, Bristol Road South, Northfield, Birmingham, UK.
  • Nathan Jenko
    Department of Musculoskeletal Radiology, The Royal Orthopaedic Hospital NHS Foundation Trust, Northfield, Birmingham, UK (S.A., N.J., A.M.D., R.B.).
  • A Mark Davies
    Department of Musculoskeletal Radiology, The Royal Orthopaedic Hospital NHS Foundation Trust, Northfield, Birmingham, UK (S.A., N.J., A.M.D., R.B.).
  • Karthikeyan P Iyengar
    Department of Orthopedics, Southport and Ormskirk Hospital, Southport, UK.
  • Rajesh Botchu
    Department of Radiology, Royal Orthopedic Hospital, Birmingham, UK.