DiffuVQA: Redefining medical visual question answering using conditional generative diffusion models
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Updated
Mar 18, 2026 - Python
DiffuVQA: Redefining medical visual question answering using conditional generative diffusion models
Causal Intervention on Modality-specific Biases for Medical Visual Question Answering
Beyond Static Knowledge: Dynamic Context-Aware Cross-Modal Contrastive Learning for Medical Visual Question Answering
Causal Gradient Intervention for Debiased and Evidence-Grounded Medical Visual Question Answering
A curated literature resource hub for Medical Visual Question Answering, covering surveys, datasets, benchmarks, evaluation metrics, representative methods, and multimodal medical agents, with a focus on the shift from passive answer prediction to active, evidence-seeking clinical inquiry.
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