Towards Human-Centric Intelligent Treatment Planning for Radiation Therapy
This addresses inefficiencies and costs in radiation therapy planning for medical professionals and patients, but it is incremental as it builds on existing AI methods with human oversight.
The paper tackles the problem of suboptimal quality, inefficiency, and high costs in radiation therapy treatment planning by proposing an AI-driven framework called Human-Centric Intelligent Treatment Planning (HCITP) under human oversight, which aims to enhance efficiency by potentially reducing planning time to minutes and deliver personalized, high-quality plans.
Current radiation therapy treatment planning is limited by suboptimal plan quality, inefficiency, and high costs. This perspective paper explores the complexity of treatment planning and introduces Human-Centric Intelligent Treatment Planning (HCITP), an AI-driven framework under human oversight, which integrates clinical guidelines, automates plan generation, and enables direct interactions with operators. We expect that HCITP will enhance efficiency, potentially reducing planning time to minutes, and will deliver personalized, high-quality plans. Challenges and potential solutions are discussed.