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人工智能技术促进中医药传承发展
杨蕴1,2,阮春阳3,杨美清1,于观贞1,4,田建辉1,4*
0
(1. 上海中医药大学附属龙华医院肿瘤科, 上海 200032;
2. 上海中医药大学附属上海市中西医结合医院, 上海 200082;
3. 复旦大学计算机科学技术学院医疗健康大数据研究中心, 上海 201203;
4. 上海市中医药研究院中医肿瘤研究所, 上海 201203
*通信作者)
摘要:
"互联网+"的飞速发展和大数据技术的广泛应用为人工智能技术的发展奠定了基础。基于强大的深度学习理论与技术,人工智能技术已在医学专家问答、中医医学影像切割和分类、中医四诊客观化等众多领域取得了突破。中医药传承发展迫切需要解决的问题是效率的提高,而人工智能技术已在数据挖掘、智能诊疗、智能学习、诊疗指南构建等方面促进中医药的全面发展,如何更进一步通过人工智能技术促进中医药传承发展是需要思考的重要问题。
关键词:  人工智能  中国传统医学  传承  发展
DOI:10.16781/j.0258-879x.2018.08.0873
投稿时间:2018-06-21修订日期:2018-07-10
基金项目:上海市卫生计划生育委员会优秀学科带头人计划(2017BR044).
Artificial intelligence technology promotes development and inheritance of traditional Chinese medicine
YANG Yun1,2,RUAN Chun-yang3,YANG Mei-qing1,YU Guan-zhen1,4,TIAN Jian-hui1,4*
(1. Department of Oncology, Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China;
2. Shanghai Traditional Chinese Medicine-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200082, China;
3. Medical Health Big Data Research Center, School of Computer Science, Fudan University, Shanghai 201203, China;
4. Oncology Institute of Traditional Chinese Medicine, Shanghai Research Institute of Traditional Chinese Medicine, Shanghai 201203, China
*Corresponding author)
Abstract:
The rapid development of "Internet Plus" and extensive application of big data technology has laid foundations for the development of artificial intelligence technology. Based on powerful deep learning theory and technology, artificial intelligence technology has made breakthroughs in different areas such as in aiding medical experts answering questions, cutting and classification of medical image of traditional Chinese medicine, and establishing objective four diagnostic methods of traditional Chinese medicine. There is an urgent need to improve overall efficiency in the inheritance and development of traditional Chinese medicine. Artificial intelligence technology has promoted the comprehensive development of traditional Chinese medicine in data mining, intelligence diagnosis and treatment, intelligence learning, and construction of diagnosis and treatment guidelines. How to further improvement in traditional Chinese medicine by artificial intelligence technology is an important issue that needs to be considered.
Key words:  artificial intelligence  traditional Chinese medicine  inheritance  development