Artificial intelligence federated learning system based on chest X-ray films for pathogen diagnosis of community-acquired pneumonia in children
10.13929/j.issn.1672-8475.2024.06.012
- VernacularTitle:胸部X线片人工智能联邦学习系统用于病原学诊断儿童社区获得性肺炎
- Author:
Ziyi WEI
1
;
Yi TANG
;
Ze TENG
;
Hongfeng LI
;
Yun PENG
;
Jiangfeng CAO
;
Tianzi GAO
;
Heng ZHANG
;
Hongbin HAN
Author Information
1. 北京大学医学部医学技术研究院,北京 100191
- Keywords:
pneumonia;
child;
X-rays;
artificial intelligence
- From:
Chinese Journal of Interventional Imaging and Therapy
2024;21(6):368-373
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the value of artificial intelligence federated learning system based on chest X-ray films for pathogen diagnosis of community-acquired pneumonia(CAP)in children.Methods Totally 900 cases of CAP children from 2 hospitals were retrospectively enrolled,including bacterial,viral and mycoplasma CAP(each n=300),and chest posteroanterior X-ray films were collected.Meanwhile,chest posteroanterior X-ray films of 5856 children from the publicly available dataset GWCMCx were collected,including 4273 CAP images and 1583 healthy chest images.All above 6756 images were divided into training set(n=5359)and validation set(n=1397)at the ratio of 8∶2.Then a pathogen diagnosis model of children CAP was established based on attention mechanism.Binary and ternary diagnostic algorithms were designed,and federated deployment training was performed.The efficacy of this system for pathogen diagnosis of children CAP was analyzed and compared with DenseNet model.Results Based on all data,the accuracy of the obtained artificial intelligence federated learning system model for diagnosing children CAP was 97.00%,with the area under the curve(AUC)of 0.990.Based on hospital data,the AUC of this system using single imaging data and clinical-imaging data for pathogen diagnosis of children CAP was 0.858 and 0.836,respectively,both better than that of DenseNet model(0.740,both P＜0.05).Conclusion The artificial intelligence federated learning system based on chest X-ray films could be used for pathogen diagnosis of children CAP.
