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Evaluation of a BERT Natural Language Processing...
Journal article

Evaluation of a BERT Natural Language Processing Model for Automating CT and MRI Triage and Protocol Selection

Abstract

Purpose: To evaluate the accuracy of a Bidirectional Encoder Representations for Transformers (BERT) Natural Language Processing (NLP) model for automating triage and protocol selection of cross-sectional image requisitions. Methods: A retrospective study was completed using 222 392 CT and MRI studies from a single Canadian university hospital database (January 2018-September 2022). Three hundred unique protocols (116 CT and 184 MRI) were …

Authors

Yao J; Alabousi A; Mironov O

Journal

Canadian Association of Radiologists Journal, Vol. 76, No. 2, pp. 265–272

Publisher

SAGE Publications

Publication Date

May 2025

DOI

10.1177/08465371241255895

ISSN

0846-5371