{
  "id": 9886,
  "url": "https://doi.org/10.1016/j.ijmedinf.2026.106362",
  "title": "Human in the loop artificial intelligence in healthcare: applications, outcomes, and implementation challenges",
  "summary": "BACKGROUND: The integration of artificial intelligence in healthcare has transformed clinical practice and research methodologies. However, concerns regarding algorithmic accountability, interpretability, and safety have necessitated human oversight in AI systems. Human in the loop artificial intelligence represents a collaborative paradigm where human expertise and machine intelligence converge to enhance decision making while maintaining ethical standards and clinical safety. AIM: This review ",
  "authors": "David B. Olawade, Shamiul Bashir Plabon, Adeyinka Ojo, Muyiwa Ademola Ogunbona, Babajide David Makanjuola, Rosemary Olasilola",
  "category": "research",
  "topics": "safety-alignment,healthcare,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-02-19T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:34:04.096Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9886",
  "original_url": "https://doi.org/10.1016/j.ijmedinf.2026.106362",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}