University of Yamanashi

Accurate dose prediction with deep learning technique in proton beam therapy (PBT) remains challenging due to steep dose gradients inherent to particle beams. Conventional models with pixel-wise loss functions yield over-smoothed predictions, and fixed dose g...

Manual verification of AI-based auto-contouring is labor-intensive and prone to fatigue-related errors. This study evaluated the feasibility of automated visual quality assessment using a multimodal large language model (LLM), Gemini 2.5 Flash, to assess its...

This study proposes and evaluates a framework for EPID-based virtual audit in radiotherapy using a model constructed from multi-institutional data and validated through comparison with machine-specific models.