Dual-Level Confidence based Implicit Self-Refinement for Medical Visual Question Answering
Mei-Hong Pan, Yefeng Zheng
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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 appropriate design and validation.