OpenMedReason supplies a large open corpus of multimodal medical reasoning examples extracted from scientific articles, paired with a benchmark that measures perception, knowledge, and rationale quality, yielding 20% VQA gains after supervised fine-tuning.
arXiv preprint arXiv:2601.10949 (2026)
2 Pith papers cite this work. Polarity classification is still indexing.
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MedSynapse-V proposes a latent memory evolution framework with meta-query prior retrieval, causal counterfactual refinement via RL, and intrinsic memory transition to improve diagnostic accuracy over chain-of-thought baselines in medical VLMs.
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OpenMedReason: Scientific Reasoning Supervision for Medical Vision-Language Models
OpenMedReason supplies a large open corpus of multimodal medical reasoning examples extracted from scientific articles, paired with a benchmark that measures perception, knowledge, and rationale quality, yielding 20% VQA gains after supervised fine-tuning.
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MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution
MedSynapse-V proposes a latent memory evolution framework with meta-query prior retrieval, causal counterfactual refinement via RL, and intrinsic memory transition to improve diagnostic accuracy over chain-of-thought baselines in medical VLMs.