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当人工智能遇上传统中医:通往识别脉象模式的宝盒

梁若蘭 关冰河 陈霜 陈浩然 江家伟 李文荣 沈剑

数字中医药(英文)2021,Vol.4Issue(1):1-8,8.
数字中医药(英文)2021,Vol.4Issue(1):1-8,8.DOI:10.1016/j.dcmed.2021.03.001

当人工智能遇上传统中医:通往识别脉象模式的宝盒

Artificial intelligence meets traditional Chinese medicine: a bridge to opening the magic box of sphygmopalpation for pulse pattern recognition

梁若蘭 1关冰河 1陈霜 2陈浩然 1江家伟 3李文荣 3沈剑3

作者信息

  • 1. 香港大学中医药学院,香港 999077,中国
  • 2. 中国深圳市宝安纯中医治疗医院治未病科,广东 深圳 518102,中国
  • 3. 香港城市大学机械工程学院,香港 999077,中国
  • 折叠

摘要

Abstract

Artificial intelligence (AI) aims to mimic human cognitive functions and execute intellectual activities like that performed by humans dealing with an uncertain environment. The rapid development of AI technology provides powerful tools to analyze massive amounts of data, facilitating physicians to make better clinical decisions or even replace human judgment in healthcare. Advanced AI technology also creates novel opportunities for exploring the scientific basis of traditional Chinese medicine (TCM) and developing the standardization and digitization of TCM pulse diagnostic methodology. In the present study, we review and discuss the potential application of AI technology in TCM pulse diagnosis. The major contents include the following aspects: (1) a brief introduction of the general concepts and knowledge of TCM pulse diagnosis or palpation, (2) landmark developments in AI technology and the applications of common AI deep learning algorithms in medical practice, (3) the current progress of AI technology in TCM pulse diagnosis, (4) challenges and perspectives of AI technology in TCM pulse diagnosis. In conclusion, the pairing of TCM with modern AI technology will bring novel insights into understanding the scientific principles underlying TCM pulse diagnosis and creating opportunities for the development of AI deep learning technology for the standardization and digitalization of TCM pulse diagnosis.

关键词

人工智能/传统中医/触诊/脉冲模式识别/脉诊

Key words

Artificial intelligence (AI)/Traditional Chinese medicine (TCM)/Palpation/Pulse pattern recognition/Pulse diagnosis

引用本文复制引用

梁若蘭,关冰河,陈霜,陈浩然,江家伟,李文荣,沈剑..当人工智能遇上传统中医:通往识别脉象模式的宝盒[J].数字中医药(英文),2021,4(1):1-8,8.

基金项目

We thank for the funding support form the Health and Medical Research Fund, Hong Kong SAR (No. 17181811). (No. 17181811)

数字中医药(英文)

2096-479X

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