人工智能解决中医辨证治疗复杂性问题的可行性
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(1. 云南中医药大学第一附属医院,云南 昆明 650500;2. 云南中医药大学第一临床医学院,云南 昆明 650021;3. 云南省中医医院,云南 昆明 650021)

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赵文韬(1977-),男,教授,E-mail: zwt952028@126.com

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云南省中医临床优秀人才研修项目(云财社〔2024〕163号)


The Feasibility of Artificial Intelligence in Addressing the Complex Issues of Chinese Medicine Syndrome Differentiation and Treatment
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(1. The First Affiliated Hospital of Yunnan University of Chinese Medicine, Kunming 650500, China; 2. The First Clinical Medical College of Yunnan University of Chinese Medicine, Kunming 650021, China; 3. Yunnan Provincial Hospital of Traditional Chinese Medicine, Kunming 650021, China)

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    摘要:

    复杂性科学研究复杂系统行为与演化规律,其特征包括元素多样、相互作用等。中医辨证治疗是复杂巨系统,涉及多层面因素和变量,关联关系复杂;中医强调个体差异、整体观与动态平衡,辨证施治是多尺度复杂网络,与复杂性系统问题有深刻联系。本文聚焦中医辨证治疗的复杂性问题,将复杂性系统理论应用于中医研究,有助于理解其独特疗效与应用价值。而人工智能作为解决复杂性问题的重要方法,若能用于解决中医辨证治疗的复杂性问题,可深入揭示中医的科学性。

    Abstract:

    Complexity science investigates the behavior and evolution of complex systems, characterized by factors such as element diversity and interactions. Traditional Chinese Medicine(TCM) syndrome differentiation and treatment represent a complex giant system involving multiple layers of factors and variables, with intricate interrelationships. TCM emphasizes individual differences, a holistic perspective, and dynamic equilibrium. Syndrome differentiation and treatment constitute a multi-scale complex network, demonstrating profound connections with complexity system issues. This paper focuses on the complexity of TCM syndrome differentiation and treatment, applying complexity system theory to TCM research to enhance the understanding of its unique therapeutic effects and application value. As a crucial approach to addressing complex problems, artificial intelligence, if applied to resolving the complexity of TCM syndrome differentiation and treatment, can deeply reveal the scientific foundations of TCM.

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  • 收稿日期:2025-06-25
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  • 在线发布日期: 2026-07-07
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