{
  "id": 9676,
  "url": "https://doi.org/10.3390/jcm14051605",
  "title": "Shaping the Future of Healthcare: Ethical Clinical Challenges and Pathways to Trustworthy AI",
  "summary": "Background/Objectives: Artificial intelligence (AI) is transforming healthcare, enabling advances in diagnostics, treatment optimization, and patient care. Yet, its integration raises ethical, regulatory, and societal challenges. Key concerns include data privacy risks, algorithmic bias, and regulatory gaps that struggle to keep pace with AI advancements. This study aims to synthesize a multidisciplinary framework for trustworthy AI in healthcare, focusing on transparency, accountability, fairne",
  "authors": "Polat Göktaş, Andrzej Grzybowski",
  "category": "research",
  "topics": "bias-fairness,regulation,privacy-surveillance,healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2025-02-27T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:34:00.817Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9676",
  "original_url": "https://doi.org/10.3390/jcm14051605",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}