[1]金春林,何 达.人工智能在医疗健康领域的应用及挑战[J].卫生经济研究,2018,(11):3-6.
　JIN Chun-lin,HE Da.The Application and Challenge of Artificial Intelligence in the field of Health[J].Journal Press of Health Economics Research,2018,(11):3-6.
点击复制

人工智能在医疗健康领域的应用及挑战
分享到：

卫生经济研究[ISSN:1004-7778/CN:33-1056/F]

卷:
期数:
2018年11期
页码:
3-6
栏目:
专题研究
出版日期:
2018-10-29

文章信息/Info

Title:
The Application and Challenge of Artificial Intelligence in the field of Health
作者:
金春林1; 何 达1
1.上海市卫生和健康发展研究中心（上海市医学科学技术情报研究所），上海 200032
Author(s):
JIN Chun-lin; HE Da
Shanghai Health and Wellness Development Research Center (Shanghai Institute of Medical Science and Technology Information)，Shanghai 200032，China
关键词:
人工智能; 医疗健康领域; 应用现状
Keywords:
artificial intelligence; medical health field; application status
分类号:
R-05；TP18
文献标志码:
A
摘要:
近年来，人工智能发展迅速，许多发达国家将其上升至国家战略，在医疗卫生领域各个环节中的应用也快速发展。本文通过查阅文献，就人工智能在临床诊断、护理、随访等方面的应用现状及其存在问题进行研究，并提出加强监管、加大人才培养、夯实数据基础、推进互联网建设等措施。
Abstract:
In recent years，artificial intelligence has developed rapidly. Many developed countries have raised it to the national strategy，and its application in all aspects of the medical and health field has also developed rapidly. This paper examined the application status and existing problems of artificial intelligence in clinical diagnosis，nursing，follow-up，etc.，by consulting the literature，and proposed measures such as strengthened supervision，increased personnel training，consolidated data foundation，and promoted Internet construction.

参考文献/References:

[1] 孔祥溢, 王任直. 人工智能及在医疗领域的应用[J]. 医学信息学杂志, 2016,37(11):2-5.
[2] 顾险峰. 人工智能的历史回顾和发展现状[J]. 自然杂志, 2016,38(3):157-166.
[3] 贺倩. 人工智能技术发展研究[J]. 现代电信科技, 2016,46(2):18-21.
[4] Ehteshami B B, Veta M, Johannes P V D, et al. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer[J]. Jama, 2017,318(22):2199.
[5] Liao P H, Hsu P T, Chu W, et al. Applying artificial intelligence technology to support decision-making in nursing: A case study in Taiwan[J]. Health Informatics Journal, 2015,21(2):137-148.
[6] 余悦, 朱佳超. 人工智能时代来啦！海宁市中心医院“虚拟医生”给人看病 [N]. 南湖晚报, 2017-08-07.
[7] 袁蕙芸, 黄辛. 上海仁济医院日间手术人工智能随访助手正式上线[EB/OL]. [2018-06-04]. http://news.sciencenet.cn/htmlnews/2018/6/413601.shtm.
[8] 桂运安. 民生眼—科大讯飞“智医助理”正式上岗[EB/OL]. [2018-03-03]. http://news.ifeng.com/a/20180303/56445210_0.shtml.
[9]侯哲. 经纶世纪全科医生助手机器人试点加速推进[EB/OL]. [2017-12-21]. http://www.huaxia.com/xw/zhxw/2017/12/5580514.html.
[10] 陈潇君, 孙炳伟, 苟建平. 深度机器学习辅助医院智能化管理[J]. 中国现代医学杂志, 2018(8):125-128.
[11] 周丽琴，谭琳.人工智能助力医院精细化管理[N]. 惠州日报, 2018-01-10.
[12] Welltok与IBM沃森合作，人工智能探路健康管理[EB/OL]. [2017-01-25]. http://www.sohu.com/a/125107525_313392.
[13] 苏令银. 透视人工智能背后的“算法歧视”[N]. 中国社会科学报, 2017-10-10.
[14] 李一平, 王晨, 包森成. 大数据平台的敏感数据保护研究[J]. 电信工程技术与标准化, 2017,30(11):35-38.

相似文献/References:

[1]杨泽华,田 侃,殷 婷,等.浅谈人工智能在我国卫生健康领域的应用[J].卫生经济研究,2018,(11):7.
　YANG Ze-hua,TIAN Kan,YIN Ting,et al.Talking about the Application of Artificial Intelligence in the Field of Health in China[J].Journal Press of Health Economics Research,2018,(11):7.
[2]赵文敏,喻小勇,田 侃.人工智能视域下药师的发展思考[J].卫生经济研究,2019,(08):52.
　ZHAO Wen-min,YU Xiao-yong,TIAN Kan.Thoughts on the Development of Pharmacists in the Field of Artificial Intelligence[J].Journal Press of Health Economics Research,2019,(11):52.
[3]谈在祥,韩晓平,丁甜甜.我国医疗人工智能的发展困境与对策[J].卫生经济研究,2020,(06):13.
　TAN Zai-xiang,HAN Xiao-ping,DING Tian-tian.The Development Dilemma and Countermeasures of Medical AI in China[J].Journal Press of Health Economics Research,2020,(11):13.
[4]王海旭,陈艳萍,赵 凯.中国人工智能医疗产业发展的现状及国际经验借鉴[J].卫生经济研究,2020,(09):9.
　WANG Hai-xu,CHEN Yan-ping,ZHAO Kai.Situations of Artificial Intelligence Medical Industry Development in China and International Experience[J].Journal Press of Health Economics Research,2020,(11):9.

更新日期/Last Update: 2018-10-29