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Table 1 Details about the AI module for radiographers

From: Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study

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 [18,19,20, 31,32,33,34])

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