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

Natural Language Processing (886) Clinical Information and Decision Making (1858) Decision Support for Health Professionals (1499) mHealth in a Clinical Setting (729) Innovations and Technology in Cancer Care (512) Machine Learning (2017) Cancer Prognosis Models and Machine Learning (56) Imaging Informatics (291)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75556, first published .
Automated Esophageal Cancer Staging From Free-Text Radiology Reports: Large Language Model Evaluation Study

Automated Esophageal Cancer Staging From Free-Text Radiology Reports: Large Language Model Evaluation Study

Automated Esophageal Cancer Staging From Free-Text Radiology Reports: Large Language Model Evaluation Study

Authors of this article:

Yao Yao1 Author Orcid Image ;   Xingxing Cen1 Author Orcid Image ;   Lu Gan2 Author Orcid Image ;   Jiehui Jiang3 Author Orcid Image ;   Min Wang3 Author Orcid Image ;   Yinghui Xu4 Author Orcid Image ;   Junyi Yuan1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Yao Yao   1 * , MEng ;   Xingxing Cen   1 * , PhD ;   Lu Gan   2 , MS ;   Jiehui Jiang   3 , PhD ;   Min Wang   3 , PhD ;   Yinghui Xu   4 , PhD ;   Junyi Yuan   1 , PhD

1 Information Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

2 Department of Healthcare, INF Technology, Shanghai, China

3 School of Life Sciences, Shanghai University, Shanghai, China

4 Artificial Intelligence Innovation and Incubation Institute of Fudan University, Fudan University, Shanghai, China

*these authors contributed equally

Corresponding Author:

  • Junyi Yuan, PhD
  • Information Center, Shanghai Chest Hospital
  • Shanghai Jiao Tong University School of Medicine
  • No 241, West Huaihai Road
  • Shanghai 200030
  • China
  • Phone: 86 22200000
  • Email: yuanjunyi_yjy@163.com