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

Cancer Prognosis Models and Machine Learning (40) Artificial Intelligence (1916) Natural Language Processing (845) Generative Language Models Including ChatGPT (597) Imaging Informatics (265) Medical imaging (82) Lung Cancer (51)

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
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Journals

  1. Haixian L, Shu P, Zhao L, Chunfeng L, Lun L. Machine learning approaches for EGFR mutation status prediction in NSCLC: an updated systematic review. Frontiers in Oncology 2025;15 View