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Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86700, first published .
Doctor using laptop with medical imaging on desk, symbolizing AI in healthcare.

Leveraging Large Language Models to Integrate Clinical Knowledge and Machine Learning Predictions for Lymph Node Metastasis Prediction: Development of a Knowledge-Augmented Framework

Leveraging Large Language Models to Integrate Clinical Knowledge and Machine Learning Predictions for Lymph Node Metastasis Prediction: Development of a Knowledge-Augmented Framework

Hongying Yu   1 ;   Bing Liu   2 , MD ;   Xian Zeng   1 , PhD ;   Mucheng Ren   1 , PhD ;   Zheng Cao   1 , PhD ;   Xiaofeng Zhu   3 , MSc ;   Xudong Lu   4 , PhD ;   Jun Xu   1 , PhD ;   Nan Wu   2 , MD ;   Danqing Hu   1 , PhD

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

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

3 Zhejiang Lab, Hangzhou, China

4 College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China

Corresponding Author:

  • Danqing Hu, PhD
  • Jiangsu Key Laboratory of Intelligent Medical Image Computing
  • School of Artificial Intelligence, Nanjing University of Information Science and Technology
  • Linjiang Building, No.219, Ningliu Road
  • Nanjing 210044
  • China
  • Phone: 1 13291879390
  • Email: danqinghu@nuist.edu.cn