Enhancing Pulmonary Disease Prediction Using Large Language Models With Feature Summarization and Hybrid Retrieval-Augmented Generation: Multicenter Methodological Study Based on Radiology Report.

Abstract

Authors

• Ronghao Li
  Department of Basic Medicine, Army Medical University, Chongqing, China.
• Shuai Mao
  State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.
• Congmin Zhu
  School of Biomedical Engineering, Capital Medical University, No. 10, Xitoutiao, You An Men, Fengtai District, Beijing, 100069, China, 86 010-83911542.
• Yingliang Yang
  School of Biomedical Engineering, Capital Medical University, No. 10, Xitoutiao, You An Men, Fengtai District, Beijing, 100069, China, 86 010-83911542.
• Chunting Tan
  Department of Respiratory Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
• Li Li
  Department of Gastric Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
• Xiangdong Mu
  Beijing Respiratory and Critical Care Medicine Department, Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
• Honglei Liu
  School of Biomedical Engineering, Capital Medical University, Beijing, 100069, China. liuhonglei@ccmu.edu.cn.
• Yuqing Yang
  State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.

Keywords

External Resources