• Media type: E-Article
  • Title: Boosting medical diagnostics by pooling independent judgments
  • Contributor: Kurvers, Ralf H. J. M.; Herzog, Stefan M.; Hertwig, Ralph; Krause, Jens; Carney, Patricia A.; Bogart, Andy; Argenziano, Giuseppe; Zalaudek, Iris; Wolf, Max
  • Published: Proceedings of the National Academy of Sciences, 2016
  • Published in: Proceedings of the National Academy of Sciences, 113 (2016) 31, Seite 8777-8782
  • Language: English
  • DOI: 10.1073/pnas.1601827113
  • ISSN: 0027-8424; 1091-6490
  • Keywords: Multidisciplinary
  • Origination:
  • Footnote:
  • Description: <jats:title>Significance</jats:title> <jats:p>Collective intelligence is considered to be one of the most promising approaches to improve decision making. However, up to now, little is known about the conditions underlying the emergence of collective intelligence in real-world contexts. Focusing on two key areas of medical diagnostics (breast and skin cancer detection), we here show that similarity in doctors’ accuracy is a key factor underlying the emergence of collective intelligence in these contexts. This result paves the way for innovative and more effective approaches to decision making in medical diagnostics and beyond, and to the scientific analyses of those approaches.</jats:p>
  • Access State: Open Access