本研究提出了一个基于系统论的框架，用于将人工智能（AI）整合到中医药整体物质基础研究体系中，以深化对中医药整体物质基础的理解，并遵循循证医学原则。该框架采用了系统功能解码模型（SFDM），通过定义、量化、推演和验证等阶段，系统性地探索中医药的物质基础。研究结合了自上而下的系统论指导与自下而上的要素-结构-功能分析方法，提供了对中医药整体物质基础的全面见解。此外，研究还探讨了人工智能在中药成分定量评估与预测分析中的应用，并提出了两种AI驱动的具体技术方案。这一跨学科的研究凸显了人工智能在推动中医药整体物质基础研究中的潜力，并为传统智慧与现代科技的融合奠定了坚实的基础。

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 AI-driven 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.