This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1426) Natural Language Processing (704) Tools, Programs and Algorithms (272) Imaging Informatics (198) Ontologies, Classifications, and Coding (240) Clinical Informatics (1045)

Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25378, first published .
Developing a RadLex-Based Named Entity Recognition Tool for Mining Textual Radiology Reports: Development and Performance Evaluation Study

Developing a RadLex-Based Named Entity Recognition Tool for Mining Textual Radiology Reports: Development and Performance Evaluation Study

Developing a RadLex-Based Named Entity Recognition Tool for Mining Textual Radiology Reports: Development and Performance Evaluation Study

Authors of this article:

Shintaro Tsuji1, 2 Author Orcid Image ;   Andrew Wen1 Author Orcid Image ;   Naoki Takahashi3 Author Orcid Image ;   Hongjian Zhang2 Author Orcid Image ;   Katsuhiko Ogasawara2 Author Orcid Image ;   Gouqian Jiang1 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

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  1. Zhou J, Guo X, Duan L, Yao Y, Shang Y, Wang Y, Xing B. Moving toward a standardized diagnostic statement of pituitary adenoma using an information extraction model: a real-world study based on electronic medical records. BMC Medical Informatics and Decision Making 2022;22(1) View
  2. Lee K, Liu Z, Chandran U, Kalsekar I, Laxmanan B, Higashi M, Jun T, Ma M, Li M, Mai Y, Gilman C, Wang T, Ai L, Aggarwal P, Pan Q, Oh W, Stolovitzky G, Schadt E, Wang X. Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning–Based Natural Language Processing. JMIR AI 2023;2:e44537 View
  3. Su Y, Babore Y, Kahn C. A Large Language Model to Detect Negated Expressions in Radiology Reports. Journal of Imaging Informatics in Medicine 2024 View
  4. Chizhikova M, López-Úbeda P, Martín-Noguerol T, Díaz-Galiano M, Ureña-López L, Luna A, Martín-Valdivia M. Automatic TNM staging of colorectal cancer radiology reports using pre-trained language models. Computer Methods and Programs in Biomedicine 2025;259:108515 View