{
  "id": 7705,
  "url": "https://doi.org/10.1371/journal.pone.0134269",
  "title": "Collective Intelligence Meets Medical Decision-Making: The Collective Outperforms the Best Radiologist",
  "summary": "While collective intelligence (CI) is a powerful approach to increase decision accuracy, few attempts have been made to unlock its potential in medical decision-making. Here we investigated the performance of three well-known collective intelligence rules (\"majority\", \"quorum\", and \"weighted quorum\") when applied to mammography screening. For any particular mammogram, these rules aggregate the independent assessments of multiple radiologists into a single decision (recall the patient for additio",
  "authors": "Max Wolf, Jens Krause, Patricia A. Carney, Andy Bogart, Ralf H. J. M. Kurvers",
  "category": "research",
  "topics": "healthcare,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2015-08-12T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:27.485Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7705",
  "original_url": "https://doi.org/10.1371/journal.pone.0134269",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}