The practice of studying the user of healthcare technologies is a well established aspect of design in the field of Human Computer Interaction¹. Mistakes due to overly complex or outdated systems can cause catastophic failures and severe patient harm^{2 3}. Similarly, there is a growing call to educate both the public and professional on the nature and internal workings of AI to mitigate anxiety around its ubiquitous nature and possible misapplications⁴. These factors demonstrate the need to survey clinicians for their perspectives on machine learning.

We conducted a three-hour workshop with a cohort of 14 participants on National Imaging Academy of Wales campus using a combination of individual questionnaires, semi-structured discussions and design fiction activities in small groups

. We asked participants to identify examples of machine learning in both their personal and professional lives, and to give their feelings regarding the effectiveness of machine learning in specific scenarios. We also asked participants to describe their feelings regarding the impact that artificial intelligence will have on their future careers as radiologists.