Author

Shaosheng Cao

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#artificial intelligence Preprint Aug 2026

MedUAG: Unified Understanding and Generation for Medical Multimodal Models

This work develops MedUAG, an end-to-end trained unified medical model that achieves strong performance across a wide array of understanding and generation tasks, establishing a competitive baseline and paving the way for next-generation medical multimodal systems.

Zijie Meng, Yuncheng Zhang, Hualiang Wang et al. · 0 citations

#artificial intelligence Preprint Aug 2026

DentAgent: Evidence-Centric Multi-Agent Coordination for Multimodal Dental Reasoning

DentAgent is introduced, an evidence-centric multi-agent framework, in which the Orchestrator coordinate five specialized agents spanning various modalities, which supports its value for broadly applicable and traceable multimodal dental reasoning, and highlights its potential as a technical foundation for population oral health assessment and management.

Zijie Meng, Xi-Wei Dai, Yixuan Tang et al. · 0 citations