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Besides fracture detection, the CNN was also trained to localize the fracture and highlight it with a heatmap. The authors were able to demonstrate that the accuracy in fracture detection by emergency medicine clinicians could be significantly improved with the aid of mentioned CNN [17]. The group also presented their results with a subset of 36′408 wrist radiographs. The network had an AUC of 0.97, a specificity of 93% and sensitivity of 95%. After application of the inclusion/exclusion criteria and addition of supplementary search, 235 articles were included in the final review.
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