{
  "id": 765,
  "url": "https://arxiv.org/abs/2606.21368v1",
  "title": "Graph-of-Differences: Anatomy-Structured Difference Alignment for Medical Image Re-Identification",
  "summary": "Medical image re-identification (MedReID) enables longitudinal patient linkage but remains vulnerable to shortcut learning and often produces decisions that clinicians cannot audit against named anatomy. We propose Graph-of-Differences (GoD), which grounds identity comparisons in explicit anatomical structure. Each image is represented as an anatomy graph whose nodes correspond to named anatomical regions; given an image pair, soft node correspondence is established, and differences are computed",
  "authors": "Nichula Wasalathilaka, Abhijit Das, Imran Razzak, Dwarikanath Mahapatra",
  "category": "research",
  "topics": "safety-alignment,healthcare,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-19T12:18:12.000Z",
  "fetched_at": "2026-07-14T14:14:46.035Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/765",
  "original_url": "https://arxiv.org/abs/2606.21368v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}