Article ID Journal Published Year Pages File Type
4229930 Journal of the American College of Radiology 2015 6 Pages PDF
Abstract
Radiologists were both more efficient and more accurate in lung nodule categorization when using computerized decision support tools. The authors propose that other institutions use computerized implementations of Lung-RADS in the interests of both efficiency and patient outcomes through proper management. Furthermore, they suggest the ACR design future iterations of the Lung-RADS algorithm with computerized decision support in mind.
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Authors
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