{
  "id": 8271,
  "url": "https://doi.org/10.1371/journal.pmed.1002689",
  "title": "Machine learning in medicine: Addressing ethical challenges",
  "summary": "A recent United Kingdom survey reports that 63% of the adult population is uncomfortable with allowing personal data to be used to improve healthcare and is unfavorable to artificial intelligence (AI) systems replacing doctors and nurses in tasks they usually perform Another study, conducted in Germany, found that medical students-the doctors of tomorrow-overwhelmingly buy into the promise of AI to improve medicine (83%) but are more skeptical that it will establish conclusive diagnoses in, for ",
  "authors": "Effy Vayena, Alessandro Blasimme, I. Glenn Cohen",
  "category": "research",
  "topics": "healthcare,children-education",
  "orgs": null,
  "regions": "uk",
  "published_at": "2018-11-06T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:37.174Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/8271",
  "original_url": "https://doi.org/10.1371/journal.pmed.1002689",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}