mlsanityData to 14 Oct 2026

Towards Human-Centric Intelligent Treatment Planning for Radiation Therapy

arXiv 2510.13062 ↗First posted 15 Oct 2025physics.med-ph cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 15 of its 61 references that are in the map. First posted on arXiv 15 Oct 2025.

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15 of 61 references.

References · 15

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3 more
  1. 2024Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Eracited by 46
  2. 2024Automated radiotherapy treatment planning guided by GPT-4Visioncited by 12
  3. 2024Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapycited by 6

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