Discussion ondesign of TCM artificial intelligence diagnosis and treatment system based on syndrome elements
10.3760/cma.j.cn115398-20230204-00048
- VernacularTitle:基于证候要素探讨中医人工智能诊疗系统设计
- Author:
Jinlei LIU
1
;
Jun HU
;
Yongmei LIU
;
Yuling ZHA
;
Jie WANG
Author Information
1. 中国中医科学院广安门医院2020级博士研究生，北京 100053
- Keywords:
Diagnosis, computer-assisted;
Traditional Chinese Medicine;
Artificial intelligence;
Standardization;
Syndrome elements;
Computer assisted Traditional Chin
- From:
International Journal of Traditional Chinese Medicine
2023;45(10):1201-1206
- CountryChina
- Language:Chinese
-
Abstract:
The combination of artificial intelligence and TCM and the bulk replication and promotion of the famous doctor treatment model will help solve the problem of scarce quality medical resources in TCM. The elements of syndromes are derived from the decomposition of syndromes, which is a representation of the etiology and pathogenesis of syndromes. On the one hand, it helps to reduce the dimensionality of the TCM data consistent with the symptoms, facilitating the standardisation of the data, and on the other hand, it supports flexible combinations by order, helping to guide the use of prescriptions in a targeted manner. The elements of syndromes have the characteristics of being superimposable and combinable in multiple dimensions such as etiology, disease nature and disease situation, and are suitable for mathematical calculations, which can transform the complex multi-dimensional treatment process of TCM into an artificial intelligence calculation process. This study provided an in-depth analysis of the reasons limiting the deep integration of TCM and artificial intelligence, and designs a TCM artificial intelligence-assisted diagnosis and treatment system for coronary artery disease based on the respective characteristics of the elements of syndromes and TCM to bridge the two fields of TCM and artificial intelligence, with a view to providing a reference for a breakthrough in the deep integration of TCM and artificial intelligence.
