Machine Learning for Automation of Radiology Protocols for Quality and Efficiency Improvement.
Purpose: The aim of this study was to enhance multispecialty CT and MRI protocol assignment quality and efficiency through development, testing, and proposed workflow design of a natural language processing (NLP)-based machine learning classifier.Methods: NLP-based machine learning classification mo...
| Publicado en: | Journal of the American College of Radiology Vol. 17; no. 9; pp. 1149 - 1159 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Elsevier B.V.
Sep2020
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| Acceso en línea: | Ver este registro en EBSCOhost |