Accepted as poster Advancing AI integration within radiology through multidisciplinary collaboration: the impact of an AI Study Conference

Description

Background and Aim

Accessible education and multi-professional engagement is necessary for the responsible clinical acceptance of AI. The impact of education and collaboration must be assessed to enhance the development of further and ongoing integration. Resistance to AI implementation currently exists amongst staff in radiology departments, due to fear of role replacement and a lack of transparency of the technology (Chen et al., 2021). The lack of research encompassing feedback from users of AI technology is a common issue. Clarity on the integration of AI and its clinical relevance is also a concern (Amershi et al., 2019; Omoumi et al., 2022). This has a direct effect on patients, as trust in the technology from users can instil trust in their patients (Hasani et al, 2022).

Methods

An online and in-person AI study event was designed and delivered over 2 consecutive days with the aid of two grants College of Radiographers Industry Partnership Scheme and UKIO “Pitch your Project” grant. Promotion for the event, workshop materials, speakers and venue were all organised by the research team. The detailed agenda involved speakers and panel discussions supported by different disciplines from industry, clinical and academic professionals within healthcare. A Pre and Post event questionnaire was administered to establish enhanced AI knowledge, comprehension and usefulness of the multi collaborative event. The AI study conference also remained interactive as in person attendees were invited to participate in focus groups.

Nine workshop style focus groups over the two days were conducted with 4-6 participants in each group. These investigated (i) perceptions of the research profile of AI technology within healthcare and (ii) factors limiting integration into clinical practice. Analysis of qualitative data from the questionnaires and focus groups were supported by Braun and Clarke’s (2014) thematic analysis steps and using NVIVO version 14.

Results

Results provided an understanding of the integrated perspectives of AI industry, clinical healthcare and academic professionals. 38 participants completed the Pre and Post event questionnaires. These enabled an understanding of the current opinion surrounding the impact of multidisciplinary collaborative AI educational events which indicated the majority had basic knowledge of AI concepts. There was also a strong feeling of further education needed in AI. Focus group analysis indicated some of the limiting factors to AI integration including strong feelings of fear, the need for gradual implementation of the technology for seamless transitioning and the need for accessibility considerations relating to data governance within practice.

Discussion and Conclusion

The lack of research in the area indicates the need for deeper exploration into the perceptions of clinical healthcare, industry and academic professional participants at educational study events. Understanding opinions on integration and investigating the

factors contributing to the reluctance to trust AI is integral to responsible technology acceptance in radiology.

Period	10 Oct 2025
Event title	EuSoMII
Event type	Conference