解放军医学院学报2025，Vol.46Issue(1)：104-112,9.DOI:10.12435/j.issn.2095-5227.24070101
医学人工智能公共服务平台研究与建设
Research and construction of medical artificial intelligence public service platform
摘要
Abstract
Background The new generation of artificial intelligence,represented by deep learning,convolutional neural networks,large models and other technologies,has developed rapidly and deeply affected the medical and health field.Objective To establish a public service platform for medical artificial intelligence,so as to solve the problems of shortage of data resources,insufficient computational power and lack of collaborative support for the development of artificial intelligence in the healthcare industry.Methods Based on the project of"Industrial Technology Foundation Public Service Platform"launched by the Ministry of Industry and Information Technology in 2020,with the need for medical AI capability generation and service support,and the concept of"multi-domain convergence+cloud-edge collaboration",the advanced theory of"cloud-network-edge-end"was put forward,and technologies such as training and inference heterogeneous compatibility and intelligent federal learning were investigated.Results A large-scale public service platform,which mainly adopted domestic software and hardware equipment and was oriented to the medical and health industry,had been established successfully to provide core functions such as artificial intelligence data governance,model training,test validation and reasoning application,the optimized configuration and efficient collaboration of medical data,computing resources and application services among cloud,edge and end were realized.The application and promotion of medical AI screening and auxiliary diagnosis products in 240 grass-roots military and civilian medical institutions across the country is expected to serve tens of millions of people.Conclusion The public service platform effectively promotes the convergence of medical data,accelerates the construction of independent,self-supporting,heterogeneous and compatible computing capacity services,and contributes to the research and development of medical AI systems and the sustainable development of China's smart medical construction.关键词
医学/人工智能/联邦学习/公共服务/平台建设Key words
medicine/artificial intelligence/federated learning/public services/platform construction分类
预防医学引用本文复制引用
郭华源,刘盼,徐洪丽,何昆仑..医学人工智能公共服务平台研究与建设[J].解放军医学院学报,2025,46(1):104-112,9.基金项目
工业和信息化部科技司2020年产业技术基础公共服务平台项目(2020-0103-3-1) （2020-0103-3-1）
新一代人工智能国家科技重大专项(2021ZD0140408) （2021ZD0140408）
