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Technical Realization of Integrating Bone Age Artificial Intelligence Assessment System with Hospital RIS-PACS Network / 中国医疗器械杂志
Zhongguo Yi Liao Qi Xie Za Zhi ; (6): 415-419, 2020.
Article em Zh | WPRIM | ID: wpr-942752
Biblioteca responsável: WPRO
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".
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Texto completo: 1 Índice: WPRIM Assunto principal: Osso e Ossos / Inteligência Artificial / Determinação da Idade pelo Esqueleto / Sistemas de Informação Hospitalar / Sistemas de Informação em Radiologia / Integração de Sistemas / Hospitais Tipo de estudo: Guideline Limite: Humans Idioma: Zh Revista: Zhongguo Yi Liao Qi Xie Za Zhi Ano de publicação: 2020 Tipo de documento: Article
Texto completo: 1 Índice: WPRIM Assunto principal: Osso e Ossos / Inteligência Artificial / Determinação da Idade pelo Esqueleto / Sistemas de Informação Hospitalar / Sistemas de Informação em Radiologia / Integração de Sistemas / Hospitais Tipo de estudo: Guideline Limite: Humans Idioma: Zh Revista: Zhongguo Yi Liao Qi Xie Za Zhi Ano de publicação: 2020 Tipo de documento: Article