摘要
医学人工智能(AI)是推动医疗供给侧改革和国家发展的重要技术战略。眼病图像数据是基于医疗大数据的眼科AI辅助诊疗系统研发和应用的重要资源。为了建立能有效利用大数据资源的AI眼病图像数据库,提升眼科AI研究的效率,助力新时代AI大数据眼科研究的发展,眼科人工智能研发国际联盟起草并通过了《人工智能眼病图像数据库入库数据质量评价指南》,对AI眼病图像数据库入库数据类型、数据信息、数据质量、知情同意、数据共享等内容制定了相关规范和建议。
Medical artificial intelligence(AI)is an important technical strategy to promote medical supply-side reforms and national development.Images of ophthalmic disease are the important data resource for the development and application of ophthalmic AI-aided diagnosis and treatment systems based on medical big data.In order to establish an AI ophthalmic disease imaging database that can be effectively utilized as big data resources,improve the efficiency of ophthalmic AI research,and promote the development of ophthalmic AI research based on big data in the new era,the International Ophthalmic Artificial Intelligence Research and Development Alliance drafted and adopted the"Guidelines for image quality assessment of artificial intelligence ophthalmic diseases imaging database".Specifications and recommendations of the image quality assessment for the AI ophthalmic disease image database were formulated on data types,data related information,data quality,informed consent,and data sharing.
作者
林浩添
Lin Haotian("One Belt and One Road"International Ophthalmic Artificial Intelligence Research and Development Alliance;"Medical Artificial Intelligence Database Management Specification Program Revision Seminar in 2019"Expert Panel;National Key Research and Development Program of China"Development and Clinical Trials of Artificial Intelligence Diagnostic System for Blindness-causing Diseases,Teratogenic Abnormalities,Life Threatening Disorders"Project Team;the Science and Technology Planning Projects of Guangdong Province"Construction of Medical Data Labeling Technique System,General Dataset,and Intelligent Application Platform"Project Team)
出处
《中华实验眼科杂志》
CAS
CSCD
北大核心
2019年第12期937-941,共5页
Chinese Journal Of Experimental Ophthalmology
基金
国家重点研发计划项目(2018YFC0116500)
广东省重点领域研发计划项目(2018B010109008)。
关键词
人工智能
眼病
数据库
数据质量
Artificial intelligence
Ophthalmic disease
Database
Data quality
