基于系统论框架整合人工智能与中医药整体物质基础研究（英文）

作     者：曾敬其 贾晓斌 

作者机构：School of Traditional Chinese Pharmacy China Pharmaceutical University State Key Laboratory of Natural Medicines China Pharmaceutical University 

出 版 物：《Engineering》 (工程(英文))

年 卷 期：2024年第9期

页      面：28-50页

核心收录：

学科分类：12[管理学] 1006[医学-中西医结合] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 100602[医学-中西医结合临床] 0812[工学-计算机科学与技术（可授工学、理学学位）] 10[医学] 

基　　金：supported by the National Natural Science Foundation of China (82230117) 

摘      要：This paper introduces a systems theory-driven framework to integration artificial intelligence(AI) into traditional Chinese medicine(TCM) research, enhancing the understanding of TCM s holistic material basis while adhering to evidence-based principles. Utilizing the System Function Decoding Model(SFDM), the research progresses through define, quantify, infer, and validate phases to systematically explore TCM s material basis. It employs a dual analytical approach that combines top-down, systems theory-guided perspectives with bottom-up, elements–structure–function methodologies, provides comprehensive insights into TCM s holistic material basis. Moreover, the research examines AI s role in quantitative assessment and predictive analysis of TCM s material components, proposing two specific AIdriven technical applications. This interdisciplinary effort underscores AI s potential to enhance our understanding of TCM s holistic material basis and establishes a foundation for future research at the intersection of traditional wisdom and modern technology.