Demo: Generative AI helps Radiotherapy Planning with User Preference

arXiv:2512.08996 · cs.CV, cs.AI, cs.LG · Submitted 2025-12-08 · Read on arXiv

cs.CV, cs.AI, cs.LG

Submitted: 2025-12-08

Updated: 2026-09-24

Code: https://github.com/Project-MONAI/MONAI

Terminology

• Homogeneity — 5× in this paper · explained in 2 episodes
• Alignment — 4× in this paper · explained in 1 episode
• Accuracy — 3× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Generative AI — 3× in this paper · explained in 2 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Personalization — 3× in this paper · explained in 2 episodes
• Adaptability — 2× in this paper · explained in 1 episode
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Latent Diffusion Model — 2× in this paper · explained in 2 episodes
• Latent Diffusion Models — 2× in this paper · explained in 2 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Two-stage training — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• MONAI: An open-source framework for deep learning in healthcare
• Automating RT Planning at Scale: High Quality Data For AI Training
• Hierarchical Text-Conditional Image Generation with CLIP Latents
• Wan: Open and Advanced Large-Scale Video Generative Models

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