People-Centred Medical Image Analysis

Despite accurate diagnostic systems from data-centric medical AI, widespread clinical adoption is limited due to insufficient attention to fair performance across diverse patient populations and poor workflow integration. This paper proposes a 'People-Centred Medical Image Analysis' approach to address these interconnected challenges, which prior work has typically examined in isolation.