'Bill': An artificial intelligence (AI) clinical scenario coach for medical radiation science education.

Journal: Radiography (London, England : 1995)
Published Date: Jun 14, 2025

Abstract

INTRODUCTION: The integration of artificial intelligence (AI) into medical radiation science (MRS) education offers significant potential to enhance student training and bridge gaps in traditional pedagogical methods. This technical note describes the development of "Bill," an AI-driven Clinical Scenario Coach, designed as a prototype to simulate realistic clinical challenges for undergraduate radiography students. Bill utilizes OpenAI's GPT-4o model to create structured, interactive learning environments aligned with the Medical Radiation Practice Board of Australia (MRPBA) professional standards.

Authors

  • M Chau
    Faculty of Science and Health, Charles Sturt University, Level 5, 250 Boorooma St, Charles Sturt University, Wagga Wagga, NSW 2678, Australia. Electronic address: schau@csu.edu.au.
  • G Higgins
    Division of Learning and Teaching, Charles Sturt University, Port Macquarie, NSW 2444, Australia.
  • E Arruzza
    UniSA Allied Health & Human Performance, University of South Australia, Adelaide SA 5000, Australia.
  • C L Singh
    Faculty of Science and Health, Charles Sturt University, Level 5, 250 Boorooma St, Charles Sturt University, Wagga Wagga, NSW 2678, Australia.

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