Towards human-centric intelligent treatment planning for radiation therapy

npj Digital Medicine 2026 Open access

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Authors: Adnan Jafar, Xun Jia
DOI: 10.1038/s41746-026-02339-5
Cited by: 3
References: 49

Abstract

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 interaction with planners. 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.

Fields of Study & Subjects

Advanced Radiotherapy Techniques AI-based Problem Solving and Planning Robotic Path Planning Algorithms

Publication details

Journal / source
npj Digital Medicine
Publisher
Springer Science and Business Media LLC
Volume
9
Issue
1
Pages
155–155
Publication date
10 January 2026
Language
EN