期刊文献+

从质谱到智谱——历史与未来 被引量:1

From MS to intelligent MS——the history and the future
下载PDF
导出
摘要 2016年10月,GOOGLE提出了IT技术发展的4个阶段:PC-互联网-移动-人工智能。人工智能自1956年正式提出以来,至2016年ALPHA GO战胜人类围棋冠军李昌镐,IBM WATSON HEALTHCARE获美国医生执照,人工智能技术正在改变整个世界,也必将改变质谱技术,为质谱技术的发展提供新的路线。智谱,将传统质谱与人工智能结合,实验技术方法承接成熟的传统质谱,而实验数据的处理和分析应用近年来飞速发展的人工智能的崭新的、跨学科分析方法。其主要技术指标为谱图稳定性与谱库分辨率。智谱可以智能读取质谱产生的数据并做出判定,实现了效率的极大提升,大量节省了医疗成本,实现医疗资源分配的最优化。智谱在传统质谱基础上的优化,使其有望得到广泛应用并解决目前质谱难以解决的临床医学领域的基础问题。 In October 2016,GOOGLE put forward the 4 stage of IT technology development:PC Inter net Mobile AI (artificial intelligence). Since the concept of AI was formally proposed in 1956,the ALPHA GO defeated the human Weiqi champion LI CHANGGAO in 2016,and IBM WATSON HEALTHCARE got the American doctor's license. AI technology is changing the whole world, and it will also change the mass spectrum (MS) technology to provide a new prospect for the development of MS technology. With the combi nation of traditional MS and AI,the traditional MS is carried on by experimental techniques, and the process ing and analysis of experimental data is a new and interdisciplinary approach to the rapid development of AI in recent years. The main technical indicators include the stability of spectrum and the resolution of spectral li brary. Intelligent MS can read the data generated by the MS intelligently and make a decision, which can great ly improve the efficiency,save medical costs and optimize the distribution of medical resources. With the opti mization based on traditional MS, intelligent MS is expected to be widely used and solve the basic problems in clinical medicine which are difficult to be solved by MS.
作者 张阳 刘昕超 薛恒钢 周凤丽 马庆伟 府伟灵 ZHANG Yang;LIU Xinchao;XUE Henggang;ZHOU Fengli;MA Qingwei;FU Weiling(Department of Laboratory Medicine,the People's Hospital of Chongqing,Chongqing 400038,Chitin;Bioyong Technologies Inc.Beijing 102206,Chitin;Department of Laboratory Medicine,Southnest Hospital of Army Military Medical University,Chongqing 400038,Chitin)
出处 《国际检验医学杂志》 CAS 2018年第22期2721-2724,2728,共5页 International Journal of Laboratory Medicine
基金 国家973项目基础研发计划资助项目(2015CB755402) 国家重点研发计划"精准医学研究"资助项目(2017YFC0909902) 国家重点研发计划项目(2016YFC0106600 2017YFC0906702) 西南医院智慧医疗重点项目(SWH2017ZDCX4210)
关键词 质谱 智谱 人工智能 智能辅助诊断系统 mass spectrum intelligent mass spectrum artificial intelligence intelligent assistant diagnosis system
  • 相关文献

参考文献5

二级参考文献40

共引文献1575

同被引文献7

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部