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Dataset Information

Ultra-fast, one-click radiotherapy treatment planning outside a treatment planning system.


ABSTRACT: We present an automated radiation oncology treatment planning pipeline that operates between segmentation and plan review, minimizing manual interaction and reliance on traditional planning systems. Two AI models work in sequence: the first generates a dose distribution, and the second creates a deliverable DICOM-RT plan. Trained and validated on 276 plans, and tested on 151 datasets, the system produced clinically deliverable plans-complete with all VMAT parameters-in about 38 s. These plans met target coverage and most organ-at-risk constraints. This proof-of-concept demonstrates the feasibility of generating high-quality, deliverable DICOM plans within seconds.

SUBMITTER: Heilemann G 

PROVIDER: S-EPMC11870257 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature