人工智能驱动的中药质量控制研究进展OA

The safety and clinical efficacy of traditional Chinese medicine(TCM)are closely related to their quality.However,the complex origin of herbs and significant differences in geo-authenticity lead to the uneven quality of TCM,and the traditional quality control methods have been difficult to meet the complexity and variability of quality assessment.Artificial intelligence(AI),with its power-ful data processing ability,accurate pattern recognition and intelligent decision-making advantages,combined with modern analysis technology,provides a new technical path for the standardization,speed and intelligence of TCM quality testing.This review focuses on AI-driven intelligent detection technology and application scenarios of TCM,introduces common modern analytical techniques and AI core algorithms,outlines the specific application of AI in the quality control of the whole industry chain of TCM from the aspects of authenticity identification,quality grade assessment and harmful substance screening,and analyzes the problems and challenges faced by AI in the field of quality control.This review provides a reference for the construction of a whole-process intelligent quality control system of traditional Chinese medicine and the high-quality development of traditional Chinese medicine industry.