ARTIFICIAL INTELLIGENCE: NATURAL LANGUAGE PROCESSING FOR PEER-REVIEW IN RADIOLOGY

ARTIFICIAL INTELLIGENCE: NATURAL LANGUAGE PROCESSING FOR PEER-REVIEW IN RADIOLOGY

Objective. To assess the importance of natural language processing (NLP) system for quality assurance of the radiological reports.Material and methods. Multilateral analysis of chest low-dose computed tomography (LDCT) reports based on a commercially available cognitive NLP system was performed. The...

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Bibliographic Details
Main Authors: S. P. Morozov, A. V. Vladzimirskiy, V. A. Gombolevskiy, E. S. Kuz’mina, N. V. Ledikhova
Format: Article
Language:English
Published: Luchevaya Diagnostika, LLC 2018-12-01
Series:Вестник рентгенологии и радиологии
Subjects:
radiology
low-dose computed tomography
artificial intelligence
quality control
natural language processing
Online Access:https://www.russianradiology.ru/jour/article/view/383

Internet

https://www.russianradiology.ru/jour/article/view/383

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