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, 200062.
2. Winning Health Technology Group Co. Ltd., Shanghai, 200072.
3. School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030.
- 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".
