Enhancing Pulmonary Disease Prediction Using Large Language Models With Feature Summarization and Hybrid Retrieval-Augmented Generation: Multicenter Methodological Study Based on Radiology Report
Enhancing Pulmonary Disease Prediction Using Large Language Models With Feature Summarization and Hybrid Retrieval-Augmented Generation: Multicenter Methodological Study Based on Radiology Report
Ronghao Li
1
* ;
Shuai Mao
2
* ;
Congmin Zhu
1
, PhD ;
Yingliang Yang
1
;
Chunting Tan
3
, PhD ;
Li Li
4
, PhD ;
Xiangdong Mu
4
, PhD ;
Honglei Liu
1
* , PhD ;
Yuqing Yang
2
* , PhD
1
School of Biomedical Engineering, Capital Medical University, Beijing, China
2
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China
3
Department of Respiratory Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China
4
Beijing Respiratory and Critical Care Medicine Department, Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
*these authors contributed equally
Corresponding Author:
-
Honglei Liu, PhD
-
School of Biomedical Engineering
-
Capital Medical University
-
No. 10, Xitoutiao, You An Men, Fengtai District
-
Beijing 100069
-
China
-
Phone:
86 010-83911542
-
Email: liuhonglei@ccmu.edu.cn