Comprehensive Summary
The research focuses on the preferences of the Australian population in regards to the use of AI in radiation therapy through a discrete choice experiment (DCE). The DCE noted hypothetical AI simulations that present AI's accuracy, economic value, treatment efficiency, and data protection. The participants of the study preferred AI systems that has high accuracy and efficient treatment diagnosis. However, the participants also desire AI to be assistive, supporting clinicians, instead of being fully autonomous. Another consideration is that certain groups of participants preferred one type of AI benefit over another, such as using AI for its cost instead of using AI for its time diagnosis. Through the study, it is clear that individuals prefer AI for specific characterizations, with value being placed on the characterizations from the individual's background.
Outcomes and Implications
AI can impact the healthcare industry through its applications. The study reflects how the respondents prefer assistive AI over fully-autonomous AI. To increase trust in AI usage, there is a need for more features to display high efficiency for diagnosis. Moreover, data privacy needs to be considered more thoroughly when using AI to prevent breaches in information. AI in radiation therapy should also be customized for match the different needs of patients.