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To develop and validate a unified multimodal medical foundation model that combines visual understanding, cross-modal generation (image-text translation), and interpretable reasoning with visual grounding, and to quantify the gai...

Reinforcement learning (RL) constitutes a strong candidate for AI-guided treatment planning for two distinguishing reasons: it differs from greedy algorithms by optimizing strategy over the complete history of a Markovian process...

Accurate medical image segmentation is crucial for clinical workflows such as radiotherapy planning and longitudinal disease monitoring. However, high-quality pixel/voxel annotations are costly and time-consuming to obtain, limit...