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Radiology, a particularly resource-intensive discipline, contributes significantly to healthcare-related emissions and operational inefficiencies. At the same time, digital technologies\u2014such as artificial intelligence (AI), structured reporting, and smart scheduling\u2014offer powerful tools to address both ecological and economic challenges. For example, AI-driven protocol optimization has been shown to cut energy consumption by up to 56% and examination time by 55%, directly aligning sustainability with operational efficiency. Using radiology as a representative case, this article examines how these innovations can reduce environmental waste, imaging overuse, and workflow inefficiencies, offering a scalable blueprint for healthcare-wide transformation. 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