Human-Centered AI for Medical Imaging

Medical imaging is the primary data source most physicians refer to when making a diagnosis. However, examination of medical imaging data, due to its density and uncertainty, can be time-consuming and error-prone. The recent advent of data-driven artificial intelligence (AI) provides a promising solution, yet the adoption of AI in medicine is often hindered by the ‘black box’ nature. This chapter reviews how AI can distil new insights from medical imaging data and how a human-centered approach can transform AIs role as one that engages patients with self-assessment and personalized models and as one that enables physicians to comprehend and control how AI performs a diagnosis, thus able to collaborate with AI in making a diagnosis.