人工智能技术促进中医药传承发展
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上海中医药大学附属龙华医院,复旦大学计算机科学技术学院医疗健康大数据研究中心;复旦大学计算机科学技术学院医疗健康大数据研究中心,上海中医药大学附属龙华医院,上海市中医药研究院中医肿瘤研究所,上海中医药大学附属龙华医院

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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
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Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Medical Health Big Data Research Center,School of Computer Science,Fudan University,Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Oncology Institute of Traditional Chinese Medicine,Shanghai Research Institute of Traditional Chinese Medicine,Shanghai,Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine

Fund Project:

Supported by Fund for Leading Scientists of Health and Family Planning Commission of Shanghai (2017BR044).

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    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。

    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.

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  • 收稿日期:2018-06-21
  • 最后修改日期:2018-07-10
  • 录用日期:2018-09-07
  • 在线发布日期: 2018-09-07
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