ArticleSociology of health & illness2026
Implementing AI in Radiotherapy: Insights From the Healthcare Professions.
Article in Sociology of health & illness, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
4 authors.
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Abstract
The potential for artificial intelligence (AI) to transform healthcare has been of growing academic, policy and professional interest. Various studies have reported on the perceptions of the potential for AI in healthcare. However, fewer studies have examined the lived experiences that healthcare professionals (HCPs) have with the use of AI tools. One area where AI has been implemented is in the auto-contouring of organs-at-risk (OAR) for cancer treatment. In this study, we interviewed 32 HCPs involved in cancer treatment using these AI tools, across five different regional cancer centres in England. In contrast to studies that explore professionals' perceptions of the future possibilities of AI-which often focus on fear and concern-our respondents report very positive experiences. We find that the AI tools offer opportunities to enhance their professional autonomy by re-focusing, on what they consider to be more expert activities. Our findings reveal the enduring value of insights from the sociology of the professions in the age of AI, and evidence the importance of a partial discard of tasks. They also show the relevance for emerging sociologies of AI to appreciate both the particularities of the AI tools in use, and the professions and practices at work.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.