Perceived risk and mitigation of AI-supported clinical decision-making among radiologists: an exploratory study

Artificial intelligence (AI) promises to revolutionise radiology practices. However, the AI implementation to support clinical decision-making relies on radiologists’ understanding of associated risks, as it has a pivotal role in providing outstanding healthcare outcome delivery. This study aims to explore the perception of risks related to AI and how to mitigate them from radiologists’ perspective via semi-structured interviews for more in-depth information. Preliminary findings indicate that most of the literature for the most part focused on attitudes and beliefs. As a work in progress, it is significant to bridge gaps in terms of the limited of empirical studies on risk perceptions of AI and insufficient theoretical grounding. This Research-In-Progress paper has provided a research framework, methodology and anticipated contributions while also seeking insightful critique to strengthen the research argument and its significance.