{
  "id": 9259,
  "url": "https://doi.org/10.1371/journal.pdig.0000016",
  "title": "To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems",
  "summary": "Explainability for artificial intelligence (AI) in medicine is a hotly debated topic. Our paper presents a review of the key arguments in favor and against explainability for AI-powered Clinical Decision Support System (CDSS) applied to a concrete use case, namely an AI-powered CDSS currently used in the emergency call setting to identify patients with life-threatening cardiac arrest. More specifically, we performed a normative analysis using socio-technical scenarios to provide a nuanced accoun",
  "authors": "Julia Amann, Dennis Vetter, Stig Nikolaj Fasmer Blomberg, Helle Collatz Christensen, Megan Coffee, Sara Gerke",
  "category": "research",
  "topics": "healthcare,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2022-02-17T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:50.752Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9259",
  "original_url": "https://doi.org/10.1371/journal.pdig.0000016",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}