Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4229930 | Journal of the American College of Radiology | 2015 | 6 Pages |
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.
Related Topics
Health Sciences
Medicine and Dentistry
Radiology and Imaging
Authors
Toshimasa J. MD, Thomas F. MD, PhD, Suresh T. MD, Peter B. MD,