MedSynapse-V proposes meta-query prior memorization, causal counterfactual refinement via RL, and dual-branch memory transition to evolve implicit diagnostic memories in medical VLMs and boost accuracy over chain-of-thought baselines.
In: International Conference on Medical Image Computing and Computer- Assisted Intervention
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MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution
MedSynapse-V proposes meta-query prior memorization, causal counterfactual refinement via RL, and dual-branch memory transition to evolve implicit diagnostic memories in medical VLMs and boost accuracy over chain-of-thought baselines.