AI RESEARCH
RoiMAM: Region-of-Interest Medical Attention Model for Efficient Vision-Language Understanding
arXiv CS.CV
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ArXi:2605.15561v1 Announce Type: new Vision-Language Models (VLMs) facilitate medical visual question answering (MedVQA) by jointly interpreting images and text. However, existing models typically depend on large architectures and closed-set answers, which limits their efficiency and potential clinical applicability. To overcome these shortcomings, we