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- W3091878474 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 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." @default.
- W3091878474 created "2020-10-15" @default.
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- W3091878474 date "2020-10-08" @default.
- W3091878474 modified "2023-09-28" @default.
- W3091878474 title "[Technical Realization of Integrating Bone Age Artificial Intelligence Assessment System with Hospital RIS-PACS Network]." @default.
- W3091878474 doi "https://doi.org/10.3969/j.issn.1671-7104.2020.05.008" @default.
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