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Crowd Intelligence for the Classification of Fractures and Beyond
BACKGROUND: Medical diagnosis, like all products of human cognition, is subject to error. We tested the hypothesis that errors of diagnosis in the realm of fracture classification can be reduced by a consensus (group) diagnosis; and that digital imaging and Internet access makes feasible the compila...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2011
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3223187/ https://www.ncbi.nlm.nih.gov/pubmed/22132118 http://dx.doi.org/10.1371/journal.pone.0027620 |