{
  "id": 3786,
  "url": "https://arxiv.org/abs/2605.24913v1",
  "title": "Explainable Multi-Task Retinal Imaging Reveals Microvascular Signals for Systemic Risk Stratification in Type 2 Diabetes: A Pilot Study",
  "summary": "Retinal imaging provides a non-invasive window into systemic microvascular health and has emerged as a potential biomarker for systemic diseases. However, whether retinal features encode biologically meaningful systemic signals that can be reliably interpreted using explainable artificial intelligence (XAI) remains unclear. An explainable multi-task deep learning framework was developed to investigate associations between retinal microvascular features and systemic abnormalities in Type 2 Diabet",
  "authors": "Mini Han Wang, Liting Huang, Wei Hong, Boonthawan Wingwon",
  "category": "research",
  "topics": "healthcare,transparency,finance-investment,biotech",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-24T07:32:58.000Z",
  "fetched_at": "2026-07-14T16:30:31.920Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3786",
  "original_url": "https://arxiv.org/abs/2605.24913v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}