Human-like AI-based Auto-Field-in-Field Whole-Brain Radiotherapy Treatment Planning With Conversation Large Language Model Feedback.

The proposed system improves planning efficiency while maintaining clinically acceptable plan quality. It demonstrates the feasibility of combining DL-based hyperparameter prediction with LLM interaction for streamlined, high-quality WBRT planning.

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Publication Details

Journal
PubMed
Published
2026-01-02
Primary Topic
Advanced Radiotherapy Techniques
Type
article
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article

Human-like AI-based Auto-Field-in-Field Whole-Brain Radiotherapy Treatment Planning With Conversation Large Language Model Feedback.

Xiaoyu Hu, Gavin Atkins, Xun Jia, Adnan Jafar et al.
PubMed
Advanced Radiotherapy Techniques
article

Human-like AI-based Auto-Field-in-Field Whole-Brain Radiotherapy Treatment Planning With Conversation Large Language Model Feedback.

Xiaoyu Hu, Gavin Atkins, Xun Jia, Adnan Jafar, An Qin, Yin Gao
article en

Abstract

The proposed system improves planning efficiency while maintaining clinically acceptable plan quality. It demonstrates the feasibility of combining DL-based hyperparameter prediction with LLM interaction for streamlined, high-quality WBRT planning.

PubMed
Johns Hopkins University (US), University of Pennsylvania (US)
Quality Education
Openalex Percentile: Top 92%
Advanced Radiotherapy Techniques
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Human-like AI-based Auto-Field-in-Field Whole-Brain Radiotherapy Treatment Planning With Conversation Large Language Model Feedback. — Xiaoyu Hu, Gavin Atkins, et al. · PubMed (2026) | TGRS Research Map | TGRS