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Radiation therapist perceptions on how artificial intelligence may affect their role and practice
Julie O'Shaughnessey1, Mark L Collins2
1Discipline of Medical Radiation Science, Curtin Medical School, Curtin University, Perth, Australia.
Journal of Medical Radiation Sciences
|December 8, 2022
Summary
Radiation therapists (RTs) are optimistic about artificial intelligence (AI) in radiation therapy, viewing it as a tool to enhance skills and patient care. Proper training and implementation are key to maximizing AI benefits while mitigating potential drawbacks.
Area of Science:
- Medical Radiation Science
- Artificial Intelligence in Healthcare
Background:
- Artificial intelligence (AI) adoption is growing in medical radiation science, necessitating an understanding of radiation therapists' (RTs) perspectives on its impact.
- Assessing RTs' perceptions is crucial for effective AI implementation and service delivery enhancement.
Purpose of the Study:
- To investigate radiation therapists' perceptions of artificial intelligence's impact on their professional roles and radiation therapy practice in Australia.
- To gauge RTs' awareness, training needs, and attitudes towards AI integration in radiotherapy.
Main Methods:
- An anonymous, peer-reviewed online survey was distributed to 105 radiation therapists in Australia between April and June 2021.
- Data were collected on perceptions of AI's impact on practice and roles, followed by quantitative and thematic analysis.
Main Results:
- A majority of RTs (68%) are optimistic about AI and automation, though most (63%) have limited knowledge of AI and desire more training (96%).
- RTs anticipate AI will enhance their skillset and reduce mundane tasks (66%), but some fear decreased job satisfaction (23%).
- AI is perceived to benefit patients through increased efficiency and accuracy (67%), with a noted concern for potential depersonalization of care.
Conclusions:
- Radiation therapists see AI as a potential advancement for the profession and patient care in radiotherapy.
- Effective AI implementation requires comprehensive training and a focus on augmenting RT roles rather than replacing them to ensure benefits outweigh negatives.
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