{
  "id": 13189,
  "url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1882814",
  "title": "The VIBE-HI framework: a conceptual model for evaluating vibe coding appropriateness, quality, and safety in health informatics",
  "summary": "BackgroundVibe coding—generating software through natural-language prompts to large language models without reviewing the underlying code—has moved rapidly from consumer technology into peer-reviewed clinical applications. By early 2026, clinicians had published vibe-coded teaching tools, a validated clinical nomogram, and an end-to-end omics platform built in under 10 minutes for under two dollars. Collins Dictionary named vibe coding its 2025 Word of the Year. No governance framework currently",
  "authors": "Ahmed Alqheedan",
  "category": "research",
  "topics": "regulation,healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-23T00:00:00.000Z",
  "fetched_at": "2026-07-25T05:10:48.796Z",
  "source_slug": "x-frontiers-in-artificial-intelligence",
  "source_name": "Frontiers in Artificial Intelligence",
  "source_homepage": "https://www.frontiersin.org/journals/artificial-intelligence",
  "ethics_ai_record_url": "https://ethics.ai/record/13189",
  "original_url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1882814",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}