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

Generative Language Models Including ChatGPT (708) Foundation Models and Their Applications in AI (51) Natural Language Processing (917) Medical imaging (110) Pulmonology, COPD (195)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72638, first published .
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

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

Authors of this article:

Ronghao Li1 Author Orcid Image ;   Shuai Mao2 Author Orcid Image ;   Congmin Zhu1 Author Orcid Image ;   Yingliang Yang1 Author Orcid Image ;   Chunting Tan3 Author Orcid Image ;   Li Li4 Author Orcid Image ;   Xiangdong Mu4 Author Orcid Image ;   Honglei Liu1 Author Orcid Image ;   Yuqing Yang2 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually