RT Journal Article SR Electronic T1 The implementation of artificial intelligence in radiology: a narrative review of patient perspectives JF Future Healthcare Journal JO Future Healthc J FD Royal College of Physicians SP 63 OP 68 DO 10.7861/fhj.2022-0097 VO 10 IS 1 A1 Scott Hemphill A1 Katherine Jackson A1 Stephen Bradley A1 Bobby Bhartia YR 2023 UL http://www.rcpjournals.org/content/10/1/63.abstract AB Aim To synthesise research on the view of the public and patients of the use of artificial intelligence (AI) in radiology investigations.Methods A literature review of narrative synthesis of qualitative and quantitative studies that reported views of the public and patients toward the use of AI in radiology.Results Only seven studies related to patient and public views were retrieved, suggesting that this is an underexplored area of research. Two broad themes, of confidence in the capabilities of AI, and the accountability and transparency of AI, were identified.Conclusions Both optimism and concerns were expressed by participants. Transparency in the implementation of AI, scientific validation, clear regulation and accountability were expected. Combined human and AI interpretation of imaging was strongly favoured over AI acting autonomously. The review highlights the limited engagement of the public in the adoption of AI in a radiology setting. Successful implementation of AI in this field will require demonstrating not only adequate accuracy of the technology, but also its acceptance by patients.