Related Experiment Video
Updated: May 24, 2025

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
Published on: October 6, 2023
Ultra-fast, one-click radiotherapy treatment planning outside a treatment planning system
Gerd Heilemann1, Lukas Zimmermann1, Tufve Nyholm2
1Department of Radiation Oncology, Medical University of Vienna, Waehringer Guertel 18-20 1090 Vienna, Austria.
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.

