摘要
目的建立基于人工智能的远程智能防控诊断平台,可对突发疫情开展预防、诊断、科研和随访等全流程信息服务。方法基于国家重点研发计划项目建立的医学影像质控互认共享云平台,采用人工智能与图像处理技术,研究用于CT影像质控的量化统计分析法、用于DR影像的自动检测法。结果平台实现了影像分析处理、影像互认共享、影像智能质控、新型冠状病毒肺炎(Coronavirus Disease 2019,COVID-19)影像智能诊断以及在线教学培训等功能。结论平台可以开展COVID-19影像远程辅助诊断、提升工作效率,有利于做到早发现、早报告、早隔离、早治疗。
Objective To establish a remote intelligent prevention and control diagnosis platform based on artificial intelligence,which can provide the whole process information services of prevention,diagnosis,scientific research and follow-up.Methods Based on the shared cloud platform for mutual recognition of medical image quality control established by the national key R&D program,the quantitative statistical analysis method for CT image quality control and the automatic detection method for DR image were studied by using artificial intelligence and image processing technology.Results The platform realized the functions of image analysis and processing,image mutual recognition and sharing,image intelligent quality control,image intelligent diagnosis of new pneumonia and online teaching and training.Conclusion The platform can carry out the new pneumonia image remote assistant diagnosis and improve the work efficiency,which is conducive to early detection,early report,early isolation and early treatment.
作者
高长曌
袁太兴
崔晶蕾
李洪军
王辉
王中山
刘景鑫
GAO Changzhao;YUAN Taixing;CUI Jinglei;LI Hongjun;WANG Hui;WANG Zhongshan;LIU Jingxin(China-Japan Union Hospital of Jilin University,Changchun Jilin 130033,China;Jilin Medical Imaging Engineering Technology Research Center,Changchun Jilin 130033,China)
出处
《中国医疗设备》
2020年第6期97-99,116,共4页
China Medical Devices
基金
国家重点研发计划项目(2018YFC1315604,2016YFC0103500)
吉林省科技发展计划项目“突发疫情远程智能防控诊断平台体系研究与应用”
吉林省科技厅课题(20170623020TC)。
关键词
医学影像
新型冠状病毒肺炎
智能诊断
人工智能
medical imaging
coronavirus disease 2019
intelligent diagnosis
artificial intelligence
