Collective Intelligence Meets Medical Decision-Making: The Collective Outperforms the Best Radiologist
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
Record details
Published: 12 August 2015
Source: OpenAlex
Category: Research
Topics: Healthcare · Finance, VC & PE
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Predictors of the authenticity of Internet health rumours
OpenAlex · 13 August 2015
Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks
OpenAlex · 10 September 2015
Tumor Volume Estimation and Quasi-Continuous Administration for Most Effective Bevacizumab Therapy
OpenAlex · 5 November 2015
Web-Based Textual Analysis of Free-Text Patient Experience Comments From a Survey in Primary Care
OpenAlex · 6 May 2015
Improving community health networks for people with severe mental illness: a case study investigation
OpenAlex · 1 February 2015
Validation of an Automatic Video Monitoring System for the Detection of Instrumental Activities of Daily Living in Dementia Patients
OpenAlex · 22 January 2015
How to cite this record
ethics.ai (12 August 2015), “Collective Intelligence Meets Medical Decision-Making: The Collective Outperforms the Best Radiologist,” evidence record 7705, https://ethics.ai/record/7705 (originally published by OpenAlex).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.