A systematic study on dermatology VQA finds that multi-agent reasoning and retrieval architectures outperform fine-tuned open-source vision-language models, maintaining 70% accuracy under distribution shift.
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Architecting Clinical Collaboration: Multi-Agent Reasoning Systems for Multimodal Medical VQA
A systematic study on dermatology VQA finds that multi-agent reasoning and retrieval architectures outperform fine-tuned open-source vision-language models, maintaining 70% accuracy under distribution shift.