Technical Realization of Integrating Bone Age Artificial Intelligence Assessment System with Hospital RIS-PACS Network.
10.3969/j.issn.1671-7104.2020.05.008
- Author:
Lili SHI
1
;
Xiujun YANG
1
;
Guangjun YU
1
;
Shuang LAI
1
;
Zhijun PAN
2
;
Qian WANG
3
Author Information
1. Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai,
2. Winning Health Technology Group Co. Ltd., Shanghai,
3. School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai,
- Publication Type:Journal Article
- Keywords:
PACS;
artificial intelligence;
bone age;
heterogeneous integration;
wristdigital radiography
- MeSH:
Age Determination by Skeleton;
Artificial Intelligence;
Bone and Bones;
Hospital Information Systems;
Hospitals;
Humans;
Radiology Information Systems;
Systems Integration
- From:
Chinese Journal of Medical Instrumentation
2020;44(5):415-419
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To explore the integration method and technical realization of artificial intelligence bone age assessment system with the hospital RIS-PACS network and workflow.
METHODS:Two sets of artificial intelligence based on bone age assessment systems (CHBoneAI 1.0/2.0) were developed. The intelligent system was further integrated with RIS-PACS based on the http protocol in Python flask web framework.
RESULTS:The two sets of systems were successfully integrated into the local network and RIS-PACS in hospital. The deployment has been smoothly running for nearly 3 years. Within the current network setting, it takes less than 3 s to complete bone age assessment for a single patient.
CONCLUSIONS:The artificial intelligence based bone age assessment system has been deployed in clinical RIS-PACS platform and the "running in parallel", which is marking a success of Stage-I and paving the way to Stage-II where the intelligent systems can evolve to become more powerful in particular of the system self-evolution and the "running alternatively".
