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This thesis investigates the adoption implications of AI-driven Clinical Decision Support Systems (AI-CDSS) for early breast cancer detection within healthcare workflows. Despite advancements in AI technology and its demonstrated potential to enhance diagnostic accuracy and efficiency, real-world adoption remains limited due to technical, organisational, and ethical challenges. Using a qualitative
