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

Cancer Prognosis Models and Machine Learning (67) Artificial Intelligence (2127) Natural Language Processing (917) Generative Language Models Including ChatGPT (708) Imaging Informatics (302) Medical imaging (110) Lung Cancer (66)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57275, first published .
Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation

Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation

Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation

Authors of this article:

Yosuke Yamagishi1 Author Orcid Image ;   Yuta Nakamura2 Author Orcid Image ;   Shouhei Hanaoka1 Author Orcid Image ;   Osamu Abe1 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

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  2. Kang H, Li J, Hou L, Xu X, Zheng S, Li Q. Large Language Model–Enhanced Drug Repositioning Knowledge Extraction via Long Chain-of-Thought: Development and Evaluation Study. JMIR Medical Informatics 2025;13:e77837 View
  3. Zhong R, Chen S, Li Z, Gao T, Su Y, Zhang W, Liu D, Gao L, Hu K. Large Language Models in Lung Cancer: Systematic Review. Journal of Medical Internet Research 2025;27:e74177 View
  4. Yasaka K, Wada M, Tokuyama K, Takaishi T, Abe O. Impact of Super-Resolution Deep Learning Reconstruction on Low-Dose CT in Patients with Central Venous Catheter or Central Venous Port. Journal of Imaging Informatics in Medicine 2025 View
  5. Lee R, Hadidchi R, Coard M, Rubinov Y, Alamuri T, Liaw A, Chandrupatla R, Duong T. Use of Large Language Models on Radiology Reports: A Scoping Review. Journal of the American College of Radiology 2025 View