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

Generative Language Models Including ChatGPT (492) Natural Language Processing (801) Lung Cancer (47) Imaging Informatics (235) Medical imaging (62)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65547, first published .
Large Language Models in Summarizing Radiology Report Impressions for Lung Cancer in Chinese: Evaluation Study

Large Language Models in Summarizing Radiology Report Impressions for Lung Cancer in Chinese: Evaluation Study

Large Language Models in Summarizing Radiology Report Impressions for Lung Cancer in Chinese: Evaluation Study

Authors of this article:

Danqing Hu1, 2 Author Orcid Image ;   Shanyuan Zhang3 Author Orcid Image ;   Qing Liu4 Author Orcid Image ;   Xiaofeng Zhu2 Author Orcid Image ;   Bing Liu3 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Danqing Hu   1, 2 * , PhD ;   Shanyuan Zhang   3 * , MD ;   Qing Liu   4 * , MD ;   Xiaofeng Zhu   2 , MSc ;   Bing Liu   3 , MD

1 Jiangsu Key Laboratory of Intelligent Medical Image Computing, School of Future Technology, Nanjing University of Information Science and Technology, Nanjing, China

2 Zhejiang Lab, Hangzhou, China

3 Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing, China

4 Department of Radiology, Peking University Cancer Hospital and Institute, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Bing Liu, MD
  • Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education)
  • Department of Thoracic Surgery II
  • Peking University Cancer Hospital and Institute
  • 52 Fucheng Road
  • Haidian District
  • Beijing, 100142
  • China
  • Phone: 86 15201469501
  • Email: liubing983811735@126.com