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

O'SHAUGHNESSEY, Julie and COLLINS, Mark (2022). Radiation therapist perceptions on how artificial intelligence may affect their role and practice. Journal of Medical Radiation Sciences.

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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.

Item Type:	Article
Additional Information:	** Article version: VoR ** From Wiley via Jisc Publications Router ** Licence for VoR version of this article: http://creativecommons.org/licenses/by-nc-nd/4.0/ **Journal IDs: issn 2051-3895; issn 2051-3909 **Article IDs: publisher-id: jmrs638; society-id: jmrs-2022-069.r2 **History: published 07-12-2022; accepted 17-11-2022; submitted 25-05-2022
Uncontrolled Keywords:	ORIGINAL ARTICLE, ORIGINAL ARTICLES, Artificial intelligence, perceptions, radiation therapists, roles
Identification Number:	https://doi.org/10.1002/jmrs.638
SWORD Depositor:	Colin Knott
Depositing User:	Colin Knott
Date Deposited:	14 Dec 2022 10:37
Last Modified:	17 Jan 2023 14:46
URI:	https://shura.shu.ac.uk/id/eprint/31129

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