Basics and Application Possibilities of Natural Language Processing (NLP) in the Radiology

被引：5

作者：

Jungmann, F. ^{[1
]}

Kuhn, S. ^{[2
]}

Kaempgen, B. ^{[3
]}

机构：

[1] Johannes Gutenberg Univ Mainz, Univ Med, Klin & Poliklin Diagnost & Intervent Radiol, Langenbeckstr 1, D-55131 Mainz, Germany

[2] Johannes Gutenberg Univ Mainz, Univ Med, Zentrum Orthopad & Unfallchirurg, Mainz, Germany

[3] Empolis Informat Management GmbH, Technol Pk Wurzburg Rimpar, Rimpar, Germany

来源：

RADIOLOGE | 2018年 / 58卷 / 08期

关键词：

INFORMATION;

D O I：

10.1007/s00117-018-0426-0

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

Due to the increasing demands in radiology, applications that enable quality assurance and continuous process optimization are required. The principles of Natural Language Processing (NLP) as a computer-based method for structuring of free text reports are explained and application scenarios are sketched. The structuring of free texts succeeds by several theories, linguistic techniques (word meanings, word context, negations), statistical methods with rules and currently with deep learning approaches. Medical encyclopedias, such as RadLexA (R), are suitable for coding findings. NLP was used in our own radiology clinic to check the quality of 3756 CT reports. In our case study, NLP proved to be a helpful, automated tool for internal quality testing. NLP offers numerous application scenarios for decision support and for quality management in radiology.

引用

页码：764 / 768

页数：5