{
  "id": 9709,
  "url": "https://doi.org/10.3390/healthcare13172154",
  "title": "Explainable AI in Clinical Decision Support Systems: A Meta-Analysis of Methods, Applications, and Usability Challenges",
  "summary": "Background: Theintegration of artificial intelligence (AI) into clinical decision support systems (CDSSs) has significantly enhanced diagnostic precision, risk stratification, and treatment planning. AI models remain a barrier to clinical adoption, emphasizing the critical role of explainable AI (XAI). Methods: This systematic meta-analysis synthesizes findings from 62 peer-reviewed studies published between 2018 and 2025, examining the use of XAI methods within CDSSs across various clinical dom",
  "authors": "Qaiser Abbas, Woo-Min Jeong, Seung Won Lee",
  "category": "research",
  "topics": "healthcare,transparency",
  "orgs": "meta",
  "regions": null,
  "published_at": "2025-08-29T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:34:00.819Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9709",
  "original_url": "https://doi.org/10.3390/healthcare13172154",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}