[1]杜金蓉,李婷婷,韩 俗.用于疑似新冠肺炎患者筛查的AI医学影像辅助诊断系统与PACS系统对接的设计与实现[J].医学信息,2020,33(15):10-12.[doi:10.3969/j.issn.1006-1959.2020.15.005]
　DU Jin-rong,LI Ting-ting,HAN Su.Design and Implementation of AI Medical Imaging Assisted Diagnosis System and PACS Systemfor the Screening of Suspected Novel Coronary Pneumonia Patients[J].Medical Information,2020,33(15):10-12.[doi:10.3969/j.issn.1006-1959.2020.15.005]
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用于疑似新冠肺炎患者筛查的AI医学影像辅助诊断系统与PACS系统对接的设计与实现()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
33卷
期数:
2020年15期
页码:
10-12
栏目:
出版日期:
2020-08-01

文章信息/Info

Title:
Design and Implementation of AI Medical Imaging Assisted Diagnosis System and PACS Systemfor the Screening of Suspected Novel Coronary Pneumonia Patients
文章编号:
1006-1959（2020）15-0010-03
作者:
杜金蓉; 李婷婷; 韩 俗
四川大学华西公共卫生学院/四川大学华西第四医院信息化建设部，四川 成都 610041
Author(s):
DU Jin-rong; LI Ting-ting; HAN Su
West China School of Public Health,Sichuan University/Information Construction Department,West China Fourth Hospital,Sichuan University,Chengdu 610041,Sichuan,China
关键词:
新型冠状病毒; 人工智能; 辅助诊断
Keywords:
Novel coronavirus; Artificial intelligence; Assisted diagnosis
分类号:
R-05；TP18
DOI:
10.3969/j.issn.1006-1959.2020.15.005
文献标志码:
A
摘要:
为了快速筛查新冠肺炎疑似病例，通过将AI医学影像辅助诊断系统与PACS系统无缝连接，利用标准化的接口服务，形成不影响医生操作的工作流程，系统后台自动判定肺炎，高效应对新冠病毒肺炎疫情。PACS系统通过人工智能快速筛查新型冠状病毒疑似患者，减轻工作人员负担，提高临床工作效率。本文主要对该系统流程设计与实现进行了总结。
Abstract:
In order to quickly screen for suspected cases of novel coronary pneumonia, the AI medical imaging assisted diagnosis system is seamlessly connected with the PACS system, and standardized interface services are used to form a workflow that does not affect the doctor’s operation. The system backstage automatically determines pneumonia and effectively responds to new coronavirus pneumonia. epidemic. The PACS system uses artificial intelligence to quickly screen suspected patients with the novel coronavirus, reducing the burden on staff and improving clinical work efficiency. This article mainly summarizes the design and implementation of the system process.

参考文献/References:

[1]中共中央政治局常务委员会召开会议 研究新型冠状病毒感染的肺炎疫情防控工作 中共中央总书记习近平主持会议[J].时代主人,2020(1):5-6.[2]国家卫生健康委员会办公厅.国家中医药管理局办公室.关于印发新型冠状病毒肺炎诊疗方案(试行第七版)的通知[Z]2020-03-03. http://www.gov.cn/zhengce/zhengceku/2020-03/04/content_5486705.htm.[3]张殿礼.从“互联网+”到“AI+”,人工智能潮起[J].城市开发,2019(2):32-33.[4]王芳敏.AI“啄医生”对肺结节良恶性鉴别的价值研究[D].西南医科大学,2019.[5]于观贞,刘西洋,张彦春,等.人工智能在临床医学中的应用与思考[J].第二军医大学学报,2018,39(4):358-365.[6]丁磊.基于DICOM标准的医学文件研究与处理[D].电子科技大学,2019.[7]陈海峰.新冠肺炎影像辅助诊断系统成功研发可3秒完成辅助诊断[EB/OL].http://www.chinanews.com/jk/2020/03-02/9111139.shtml,2020-03-02.[8]李志勇,李鹏伟,高小燕,等.人工智能医学技术发展的聚焦领域与趋势分析[J].中国医学装备,2018,15(7):136-145.[9]金广予,所世腾,冯建兴,等.肺结节的智能影像筛查新模式[J].中国医疗器械杂志,2019,43(3):226-229.[10]顾培华,赵一凡.基于健康等级7的放射学信息系统与影像归档及传输系统集成方法[J].中国医学装备,2016,13(4):50-54.[11]高忠军,孟群,李岳峰,等.医学数字影像通信(DICOM)标准符合性测试方法与方案[J].中国卫生信息管理杂志,2017,14(6):776-780.[12]韩冬,李其花,蔡巍,等.人工智能在医学影像中的研究与应用[J].大数据,2019,5(1):39-67.[13]王磊,郑云硉,王培军.PACS与人工智能诊断系统的接口研究与实现[J].中国数字医学,2020,15(1):22-24.[14]赵一鸣,左秀然.PACS与人工智能辅助诊断的集成应用[J].中国数字医学,2018,13(4):20-22.[15]蒋军.现代软件工程在医疗软件开发中的应用[J].电子技术与软件工程,2019(13):35.[16]李贵平,金晨霞,任维东,等.浅析“危急值”报告制度对保证体检质量及规避医疗风险的作用[J].甘肃医药,2016,35(11):855-856.

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更新日期/Last Update: 1900-01-01