Table 1.

Details about the AI module for radiographers

Module name	Introduction to artificial intelligence for radiographers
Level	Master’s (level 7)
Credits	30 UK credits (equivalent to 15 ECTS credits) Elective in year 2 for a 3-years part-time master’s programme in Radiography. Continuing professional development (CPD) offering was also an option, either for credits (with assessments) or non-credit bearing (without assessments)
Length	12 weeks
Mode of delivery	Online
Pedagogical approach	Flipped classroom Resources provided by thematically organising key articles, textbooks, policies, videos, podcasts and websites on the learning management system Synchronous, weekly, 2-h long live tutorials/discussions on MS Teams Asynchronous, self-directed study of articles and pre-recorded lectures and discussion board activities on the learning management system Asynchronous Online forum for student support Formative feedback for assignments to support learning Adjustments for neurodivergent students (including subtitles in videos, where feasible)
Content themes (informed by evidence [18–20, 31–34])	Basic AI concepts and terminologies Clinical applications of AI in projectional and cross-sectional imaging, reporting, ultrasound, mammography, and interventional radiology Basic computer science fundamentals underpinning algorithms and associated workshop for hands-on work Impact of AI on workflow in medical imaging Ethical considerations associated with AI Patient and healthcare acceptability of AI Industry-led workshops to introduce state-of-the-art AI applications and foster networking
Assessment strategy	Short report and presentation on two different AI-enabled tools in medical imaging