Establishing a framework for development, prioritisation, and assessment of artificial intelligence technology within the radiology department at a large UK teaching hospital

Artificial intelligence (AI) can revolutionise clinical workflows in radiology but requires organisational change. An institutional strategy to develop and evaluate AI tools is outlined. A multidisciplinary AI board with a patient and public involvement and engagement (PPIE) group were created. A comprehensive framework was formed, comprising workstreams covering information governance; technical rigour, performance and safety; economic considerations; ethical and medical-legal aspects. In addition to recurring meetings, a workshop with clinicians, information technology specialists and patient representatives helped to identify priority use cases. Technical infrastructure was enhanced to support the development, performance assessment and deployment of AI tools. Primary areas for AI applications included: training staff, vetting of image requests, quality assurance, image interpretation and communicating imaging findings to patients. Potential barriers, gaps in evidence and subsequent actions for AI implementation were outlined. Avenues for collaboration with industry and market-available solutions were outlined. A virtual PACS server was developed then connected to a deployment platform for performance evaluation of AI products. Establishing an institutional AI board and imaging AI sandbox has guided safe, effective AI implementation while creating an ideal setting for innovation and industry partnership. Our approach to integration of imaging AI provides a pragmatic guide for other institutions.