[1]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):13-15.
　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,(06):13-15.
点击复制

我国医疗人工智能的发展困境与对策
分享到：

卫生经济研究[ISSN:1004-7778/CN:33-1056/F]

卷:
期数:
2020年06期
页码:
13-15
栏目:
聚焦医改
出版日期:
2020-06-04

文章信息/Info

Title:
The Development Dilemma and Countermeasures of Medical AI in China
作者:
谈在祥1; 2 ; 韩晓平1; 丁甜甜1
1.徐州医科大学卫生政策与健康管理中心，江苏 徐州221004
2.徐州医科大学附属医院，江苏 徐州 221006
Author(s):
TAN Zai-xiang; HAN Xiao-ping; DING Tian-tian
Health Policy and Management Center，Xuzhou Medical University，Xuzhou Jiangsu 221004，China;Affiliated Hospital of Xuzhou Medical University, Xuzhou Jiangsu 221006,China
关键词:
人工智能; 医疗大数据
Keywords:
AI; medical big data
分类号:
R19
文献标志码:
A
摘要:
近年来，医疗人工智能发展迅猛， 但存在数据基础薄弱、缺乏跨学科复合型人才、产品应用范围较小、关键核心技术有待突破等问题。医疗人工智能的发展需要顶层统筹设计，加快跨学科复合型人才培养，加强医疗大数据标准化、规范性建设，加强监管与法律伦理体系建设，促进医疗人工智能产品的推广应用。
Abstract:
In recent years, medical AI has developed rapidly, but there are problems such as weak data foundation, lack of interdisciplinary and compound talents, small product application scope, and key core technologies need to be broken through. The development of medical AI requires top-level overall design, accelerating the cultivation of interdisciplinary and compound talents, strengthening the standardization and normalization of medical big data, strengthening the construction of supervision and legal ethics systems, and promoting the promotion and application of medical AI products.

参考文献/References:

[1] 唐珂.人工智能未来发展前景[J].人民论坛，2018（2）：24.
[2] Sotos J G. Mycin and Neomycin: two approaches to generating explanations in rule-based expertsystems[J]. Aviat Space Environ Med, 1990，61(10): 950-954.
[3] Hamet P, Tremblay J .Artificial intelligence in medicine[M]. Metabolism, 2017：1.
[4] 李军莲，陈颖，等.国外基于人工智能的临床决策支持系统发展及启示[J].医学信息杂志，2018，39（6）：5.
[5] 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（8）：52-55.
[6] 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）7-9,12.
[7] 金小桃.健康医疗大数据[M].北京：人民卫生出版社，2018：98-101.
[8] 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.

相似文献/References:

[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.
　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,(06):3.
[2]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,(06):7.
[3]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,(06):52.
[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,(06):9.

更新日期/Last Update: 2020-06-04