摘要
建立标准化的数据中心有利于收集高质量数据资源与促进医学人工智能的发展,在医疗大数据的基础上建立不同应用场景的医疗人工智能系统,整合、搭建可满足多种疾病诊疗需求的智能服务云平台,全面提升智能医疗管理的效率。本文以眼科为研究基础,对眼科数据中心和智能服务云平台的建设经验进行总结分析,为眼科及其他专科开展人工智能研究、建立数据中心、搭建智能服务云平台等方面提供参考。
The establishment of standardized data center can promote the accumulation of high-quality data resources and the development of medical artificial intelligence.On the basis of medical big data,medical artificial intelligence systems in different application scenarios can be established and integrated into an intelligent service cloud platform,which improves the management efficiency of intelligent medical systems.This article takes ophthalmology as a prototype to summarize the experience of the establishment of ophthalmic data center and intelligent service cloud platform,aiming to provide reference and guidance for ophthalmology and other specialties to carry out artificial intelligence research,establish data center and build an intelligent service cloud platform.
作者
晏丕松
项毅帆
李强
陈睛晶
林浩添
YAN Pisong;XIANG Yifan;LI Qiang;CHEN Jingjing;LIN Haotian(Zhongshan Ophthalmic Center,Sun Yat-sen University,State Key Laboratory of Ophthalmology,Guangzhou 510060;Cloud Intellgient Care Intelligent Medical-Science(Guangzhou).,Ltd,Guangzhou 510080;School of Medicine,Sun Yat-sen University,Guangzhou 510080,China)
出处
《眼科学报》
2021年第1期97-103,共7页
Eye Science
基金
广东省科技厅-广东省重点领域(2018B010109008)
广州市科技计划项目基础研究计划市重点实验室建设项目(20200201006)。
关键词
眼科
人工智能
数据中心
云平台
ophthalmology
artificial intelligence
data center
cloud platform
