AMID is introduced, an autonomous multi-agent framework for medical imaging model development that outperformed evaluated general-purpose MLE systems and approached or matched strong human-designed challenge solutions across heterogeneous tasks.
Shengyuan Liu, Jia-Xuan Jiang, Boyun Zheng et al.· arXiv.org· 0 citations
This Review examines volumetric foundation models, language alignment and compression strategies, and agentic systems that extend MLLMs through planning, tools, memory, and workflow interaction, and introduces a Claim-Design-Validation framework to assess whether technical, workflow, and clinical claims are matched by...
Zan-Ting Ye, Shengyuan Liu, Xin Liu et al.· 0 citations
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