人工智能诊疗平台在医学领域中的应用
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摘要
人工智能诊疗平台是今后医学领域中一项重要的措施及发展的方向,在智能用药、智能影像识别、智能健康管理等领域有着重要的作用。随着人工智能的进步,其关键技术大数据技术和自然语言处理技术的发展都对人工智能诊疗平台的建立有着积极推动作用。本文主要从智能用药、智能影像识别、智能健康管理几个方面对人工智能诊疗平台在医学领域中的应用发展现状进行了总结,并提出了其在创造力以及社会伦理方面存在的问题,对未来的发展进行了总结展望。
Artificial intelligence diagnosis and treatment platform is an important measure and development direction in the future medical field. It plays an important role in intelligent medicine, intelligent image recognition, intelligent health management and so on. With the progress of artificial intelligence, the key technology, large data technology and the development of Natural Language Processing technology have a positive effect on the establishment of artificial intelligence diagnosis and treatment platform. In this paper, we summarized the application and development of artificial intelligence diagnosis and treatment platform in medical field from several aspects of intelligent medicine, intelligent image recognition and intelligent health management. Then we put forward the existing problems in creativity and social ethics, and summarized the prospect of future development.
Artificial intelligence diagnosis and treatment platform is an important measure and development direction in the future medical field. It plays an important role in intelligent medicine, intelligent image recognition, intelligent health management and so on. With the progress of artificial intelligence, the key technology, large data technology and the development of Natural Language Processing technology have a positive effect on the establishment of artificial intelligence diagnosis and treatment platform. In this paper, we summarized the application and development of artificial intelligence diagnosis and treatment platform in medical field from several aspects of intelligent medicine, intelligent image recognition and intelligent health management. Then we put forward the existing problems in creativity and social ethics, and summarized the prospect of future development.
引文
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[23]郭清.智能健康管理[J].健康研究,2011,31(2):81-85.
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[25]张润,王永滨.机器学习及其算法和发展研究[J].中国传媒大学学报:自然科学版,2016,23(2):10-18.
[2]Turing AM.Computing Machinery and Intelligence[J].AIMag,1995:44-53.
[3]苗芳芳,刘骏峰.论人工智能的发展及其在医学领域的应用前景[J].卫生软科学,2009,23(2):222-224.
[4]Kumar A,Singh TR.A new decision tree to solve the puzzle of Alzheimer’s disease pathogenesis through standard diagnosis scoring system[J].Interdiscip Sci,2016,275(4):1-9.
[5]Gorunescu F,Belciug S,Gorunescu M,et al.Intelligent decisionmaking for liver fibrosis stadialization based on tandem feature selection and evolutionary-driven neural network[J].Expert Syst Appl,2012,39(17):12824-12832.
[6]Wang N,Yu Y,Huang D,et al.Comparative study of pulsediagnosis signals between 2 kinds of liver disease patients based on the combination of unsupervised learning and super-vised learning[A].2013 IEEE International Conference on Bioinformatics and Biomedicine[C].Shanghai:IEEE,2013:260-262.
[7]Quinlan J R.Induction of decision trees[J].Machine Learing,1986,1(1):81-106.
[8]高阳,廖家平,吴伟.基于决策树的ID3算法与C4.5算法[J].湖北工业大学学报,2011,26(2):54-56.
[9]李丽霞,张敏,郜艳晖,等.人工神经网络在医学研究中的应用[J].数理医药学杂志,2009,22(1):80-82.
[10]王珏,石纯一.机器学习研究[J].广西师范大学学报(自然科学版),2003,21(2):1-15.
[11]黄林军,张勇,郭冰榕.机器学习技术在数据挖掘中的商业应用[J].逻辑学研究,2005,25(6):145-148.
[12]Collobert R,Weston J,Karlen M,et al.Natural language processing(almost)from scratch[J].J Mach Learn Res,2011,12(1):2493-2537.
[13]俞士汶,朱学锋,耿立波.自然语言处理技术与语言深度计算[J].中国社会科学,2015(3):127-135.
[14]王灿辉,张敏,马少平.自然语言处理在信息检索中的应用综述[J].中文信息学报,2007,21(2):35-45.
[15]郑西川,于广军,吴刚,等.面向区域医疗协同的临床路径诊疗决策知识库平台模型[J].中国数字医学,2009,4(5):23-26.
[16]李初民,孙安龙,李军,等.医嘱法规遵从系统的设计与实现[J].重庆医学,2008,37(21):2385.
[17]王青,兰奋,肖爱丽.不合理用药问题及干预研究[J].中国临床药理学杂志,2003,19(1):75-78.
[18]汤韧,易涛,张宜.信息技术在合理用药中的应用[J].医药导报,2005,24(9):853-855.
[19]国家食品药品监督管理局.药品说明书和标签管理规定[J].医药导报,2006,8(2):4-5.
[20]程咏梅,潘泉,张洪才,等.计算机智能图像识别算法研究[J].计算机应用,2004,24(2):65-68.
[21]孔鸣,何前锋,李兰娟.人工智能辅助诊疗发展现状与战略研究[J].中国工程科学,2018,20(2):86-91.
[22]Xu K,Ba J,Kiros R,et al.Show,attend and tell:Neural image caption generation with visual attention[A].International Conference on Machine Learning[C].2015,37:2048-2057.
[23]郭清.智能健康管理[J].健康研究,2011,31(2):81-85.
[24]Dahdah MA,Lo?ADD,Méadel C.Mobile health and maternal care:A winning combination for healthcare in the developing world?[J].Health Policy Technol,2015,4(3):225-231.
[25]张润,王永滨.机器学习及其算法和发展研究[J].中国传媒大学学报:自然科学版,2016,23(2):10-18.