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. 2023 Apr;70 Suppl 2(Suppl 2):6-14.
doi: 10.1002/jmrs.638. Epub 2022 Dec 7.

Radiation therapist perceptions on how artificial intelligence may affect their role and practice

Julie O'Shaughnessey  1 , Mark L Collins  2
Affiliations

Radiation therapist perceptions on how artificial intelligence may affect their role and practice

Julie O'Shaughnessey et al. J Med Radiat Sci. 2023 Apr.

Abstract

Introduction: The use of artificial intelligence (AI) has increased in medical radiation science, with advanced computing and modelling. Considering radiation therapists (RTs) perceptions of how this may affect their role is imperative, as this will contribute to increasing the efficiency of implementation and improve service delivery.

Methods: A peer-reviewed anonymous survey was developed and completed by 105 RTs between April and June 2021. The online survey was distributed via the Medical Radiation Practice Board of Australia and the Australian Society of Medical Imaging and Radiation Therapy newsletter as well as professional networks. The survey gained perceptions of the impact of AI on radiation therapy practice and RTs roles within Australia, and data were analysed using quantitative data analysis and thematic analysis.

Results: Automation is used throughout radiation therapy practice, with 68% of RTs being optimistic about this. The majority (63%) had little to no knowledge of working with AI and 96% would like to learn more including the underpinnings of AI and its safe and ethical use. Many (66%) perceived AI would affect their role, including increasing their skillset and reducing mundane tasks, whereas others (23%) perceived it would reduce job satisfaction by increasing repetition and limiting their problem-solving ability. AI was perceived to impact the patient positively (67%), increasing efficiency and accuracy of radiotherapy treatments; however, it could depersonalise patient care.

Conclusion: RTs perceive embracing AI in radiotherapy has the potential to advance the profession and improve the service to patients. If AI is implemented with sufficient training for greater understanding, and management uses these benefits to improve patient care, rather than replace RTs roles, then overall any negatives will be outweighed by the benefits.

Keywords: Artificial intelligence; perceptions; radiation therapists; roles.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Thematic analysis map.
Figure 2
Figure 2
Level of knowledge that RTs had of AI in percentages (n = 105).
Figure 3
Figure 3
How participants gained their AI knowledge (n = 105).
Figure 4
Figure 4
Aspect of AI, RTs would like to learn more about.
See this image and copyright information in PMC

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