{
  "id": 9993,
  "url": "https://doi.org/10.3389/fdgth.2025.1664345",
  "title": "Influencing public acceptance of artificial intelligence (AI) in healthcare delivery",
  "summary": "Introduction Despite the potential of artificial intelligence (AI) to transform healthcare delivery and reduce costs, adoption remains uneven across populations. Understanding the demographic, behavioral, and cognitive factors influencing public willingness to use AI-powered health tools is critical for equitable implementation. This study examined determinants of AI adoption in healthcare among adults in the United States (U.S.). Methods A cross-sectional survey was conducted between March and ",
  "authors": "Selin Aras, Calvin Drakos, Vineesha Manimangalam, Moiz Ali Nasir, Christina Burns, Davey M. Smith",
  "category": "research",
  "topics": "healthcare",
  "orgs": null,
  "regions": "us",
  "published_at": "2026-01-13T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:34:04.102Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9993",
  "original_url": "https://doi.org/10.3389/fdgth.2025.1664345",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}