{
  "id": 19194,
  "url": "https://arxiv.org/abs/2608.12689v1",
  "title": "Mr3D-VL: A generalist vision language foundation model for Multiparametric 3D Magnetic Resonance Imaging",
  "summary": "Multi-parametric magnetic resonance imaging (mpMRI) is a cornerstone for brain tumor diagnosis and treatment, yet current AI models face critical limitations: their lack of natural language interaction and interpretability impedes spatial information integration and cross-modal reasoning required clinically. Key challenges arise from significant physical meaning differences across modalities, spatial misalignment due to scan intervals, and the need for complex multi-feature interpretation in tas",
  "authors": "Zhi Qiao, Xintong Wu, Yichu He, Feng Shi",
  "category": "research",
  "topics": "safety-alignment,healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-13T01:12:34.000Z",
  "fetched_at": "2026-08-14T05:10:49.168Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/19194",
  "original_url": "https://arxiv.org/abs/2608.12689v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}