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

AI Language Models in Health Care (248) Artificial Intelligence (2347) Clinical Informatics (1444) Imaging Informatics (331) Clinical Information and Decision Making (2070) Ontologies, Classifications, and Coding (347) Machine Learning (2229) Advanced Data Analytics in eHealth (236)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71137, first published .
Development of a Large-Scale Dataset of Chest Computed Tomography Reports in Japanese and a High-Performance Finding Classification Model: Dataset Development and Validation Study

Development of a Large-Scale Dataset of Chest Computed Tomography Reports in Japanese and a High-Performance Finding Classification Model: Dataset Development and Validation Study

Development of a Large-Scale Dataset of Chest Computed Tomography Reports in Japanese and a High-Performance Finding Classification Model: Dataset Development and Validation Study

Authors of this article:

Yosuke Yamagishi1 Author Orcid Image ;   Yuta Nakamura2 Author Orcid Image ;   Tomohiro Kikuchi2, 3 Author Orcid Image ;   Yuki Sonoda1 Author Orcid Image ;   Hiroshi Hirakawa1 Author Orcid Image ;   Shintaro Kano4 Author Orcid Image ;   Satoshi Nakamura4 Author Orcid Image ;   Shouhei Hanaoka1 Author Orcid Image ;   Takeharu Yoshikawa2 Author Orcid Image ;   Osamu Abe1 Author Orcid Image
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Journals

  1. Kikuchi T, Yamagishi Y, Yamamoto K, Akashi T, Mori H, Makimoto H, Kohro T. Context-Aware Sentence Classification of Radiology Reports Using Synthetic Data: Development and Validation Study (Preprint). Journal of Medical Internet Research 2025 View