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    "headline": "The MRI Model Read Across Four Dimensions",
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    "dek": "Mr3D-VL combines multiple 3D MRI modalities in one language-interactive model for brain-tumor tasks.",
    "summary": "Mr3D-VL combines multiple 3D MRI modalities in one language-interactive model for brain-tumor tasks.",
    "body_text": "The four-billion-parameter system uses a shared 3D encoder, rotational position encoding across modality and space, and multiresolution feature projection. The authors report a BERTScore of 0.856 for report generation, 0.713 question-answering accuracy and 0.912 multiple-choice accuracy, outperforming tested domain and general models. These are retrospective benchmark results and do not establish prospective clinical safety or diagnostic approval.",
    "why_it_matters": "Mr3D-VL combines multiple 3D MRI modalities in one language-interactive model for brain-tumor tasks.",
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    "tags": [
      "MRI",
      "brain tumors",
      "vision-language models",
      "medical AI"
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      "source_id": "source-2026-08-15-008",
      "title": "arXiv preprint 2608.12689",
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      "published_at": "2026-08-12T21:12:34.000-04:00",
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    "title": "The MRI Model Read Across Four Dimensions",
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