高质量呼吸音数据库建设及管理规范专家共识  

Expert consensus on the construction and management of high-quality respiratory sound database

作　　者：上海市医学会儿科分会呼吸学组 福建省医学会儿科分会呼吸学组 江苏省医学会儿科分会呼吸学组 上海儿童医学中心儿科医疗联合体(浦东) 上海智慧儿科临床诊治技术工程技术研究中心 张静[2] 林继雷 袁加俊[2] 殷勇[2] 李永福 吴谨准 郝创利[5] Respiratory Group of Pediatric Branch of Shanghai Medical Association;Respiratory Group of Pediatric Branch of Fujian Medical Association;Respiratory Group of Pediatric Branch of Jiangsu Medical Association;Shanghai Children′s Medical Center Pediatric Medical Complex(Pudong);Pediatric Artificial Intelligence Clinical Application and Research Center,Shanghai Children′s Medical Center;Wu Jinzhun;Hao Chuangli;Yin Yong

机构地区：[1]不详 [2]上海交通大学医学院附属上海儿童医学中心,上海智慧儿科临床诊治技术工程技术研究中心 [3]上海交通大学电子信息与电气工程学院 [4]厦门大学附属妇女儿童医院 [5]苏州大学附属儿童医院

出　　处：《中华实用儿科临床杂志》2023年第7期481-485,共5页Chinese Journal of Applied Clinical Pediatrics

基　　金：上海市卫生健康委员会卫生行业临床研究专项(20224Y0180);上海市科委国内科技合作项目(22015821400);海南省卫生健康行业科研项目(22A200147);三亚市妇幼保健院科研项目(JYZZ-HQ-202106);上海浦东新区卫生健康委员会卫生行业科研专项(PW2021E-06);上海交通大学医工交叉项目(YG2022QN095);江苏省重点研发计划(社会发展项目)(BE2021656);厦门市科技局重大项目(3502Z20221021)。

摘　　要：人工智能(artificial intelligence,AI)进入新的发展阶段,在医疗领域,应用AI诊疗新模式和新手段建立快速精准的智能医疗体系是智慧医疗的重要发展目标。建立标准呼吸音数据库是基于医疗大数据的呼吸系统疾病辅助诊疗和家庭慢性肺部疾病管理系统研发和应用的基础。为了能规范建立高质量的呼吸音数据库,提高呼吸音AI研究的效率,促进AI大数据呼吸音研究的发展,本共识就呼吸音数据库建设,对呼吸音采集设备、采集流程、数据标准、质控要点、数据库架构和数据安全等内容进行推荐,为进一步开发AI算法研究奠定基础。The development of artificial intelligence(AI)has entered a new stage.In the medical field,the application of new AI diagnosis and treatment models to establish a fast and accurate intelligent medical system is an important development goal of intelligent medicine.The establishment of a standard respiratory sound database is the basis for the use of medical big data for the auxiliary diagnosis and treatment of respiratory diseases and the development of the family chronic lung disease management system.The purpose of this consensus is to establish a standardized high-quality respiratory sound database,improve the efficiency of respiratory sound AI research,and promote the development of AI big data respiratory sound research.This expert consensus recommends respiratory sound acquisition equipment and process,data standards and quality control,database architecture and security for the construction of respiratory sound database,laying a foundation for further development of AI algorithm research.

关 键 词：呼吸音 数据库 高质量 人工智能 

分 类 号：R-05[医药卫生]