MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution

High-precision medical diagnosis relies not only on static imaging features but also on the implicit diagnostic memory experts instantly invoke during image interpretation. We pinpoint a fundamental cognitive misalignment in medical VLMs caused by discrete tokenization, leading to quantization loss, long-range information dissipation, and missing case-adaptive expertise. To bridge this gap, we propose ours, a framework for latent diagnostic memory evolution that simulates the experiential invoca

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ethics.ai (29 April 2026), “MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution,” evidence record 5234, https://ethics.ai/record/5234 (originally published by arXiv).

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