{
  "id": 12741,
  "url": "http://jme.bmj.com/cgi/content/short/52/8/507?rss=1",
  "title": "AI interventions in cancer screening: balancing equity and cost-effectiveness",
  "summary": "This paper examines the integration of artificial intelligence (AI) into cancer screening programmes, focusing on the associated equity challenges and resource allocation implications. While AI technologies promise significant benefits—such as improved diagnostic accuracy, shorter waiting times, reduced reliance on radiographers, and overall productivity gains and cost-effectiveness—current interventions disproportionately favour those already engaged in screening. This neglect of no",
  "authors": "Roadevin, C., Hill, H.",
  "category": "research",
  "topics": "bias-fairness,jobs-economy,healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-22T07:45:20.000Z",
  "fetched_at": "2026-07-23T05:10:49.458Z",
  "source_slug": "x-journal-of-medical-ethics-bmj",
  "source_name": "Journal of Medical Ethics (BMJ)",
  "source_homepage": "https://jme.bmj.com",
  "ethics_ai_record_url": "https://ethics.ai/record/12741",
  "original_url": "http://jme.bmj.com/cgi/content/short/52/8/507?rss=1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}