MedUAG: Unified Understanding and Generation for Medical Multimodal Models

TL;DR - MedUAG is a unified medical multimodal model designed to handle both image understanding and generation. It is paired with a 6-million-instance training corpus and a standardized 12-task benchmark, providing a foundation for developing and evaluating unified medical AI systems.

• MedUAGCorpus spans more than 6 million instances across 14 medical imaging modalities.
• MedUAGBench evaluates medical generation across 12 diverse tasks under standardized protocols.
• MedUAG is trained end to end for both multimodal understanding and generation.
• Experiments report strong performance across varied tasks, establishing a competitive baseline for future medical multimodal research.