光学(聚焦)
质量(理念)
控制(管理)
计算机科学
人工智能
数据科学
哲学
认识论
光学
物理
作者
Yaolei Li,Jing Fan,Xian‐Long Cheng,Hongyu Jin,Ying Wang,Feng Wei,Fudong An,Shuangcheng Ma
标识
DOI:10.1016/j.trac.2024.118023
摘要
Quality controllability of traditional Chinese medicine (TCM) is the cornerstone for safety and efficacy. Under Industry 4.0, what are the great transformations of quality control for TCM in global is the current urgent concern. Heren, we foresight focus on artificial intelligence and bioinformatics perspectives to reveal the progress of TCM quality control in intelligent era. Integrating the complexity, technological innovations, and outputs, the unique advantages of both directions in quality control of TCM are presented. Furthermore, we also provide insightful analyses of shortcomings and propose potential specialized solutions. In new quality productive forces, important directions in future cross-cutting areas of high-quality TCM formation, smart testing, and regulatory science are prospectively and systematically outlooked. This review dedicated to insight into intelligent of TCM quality control. It has profound significance to guide TCM internationalization. • Artificial intelligence advances TCM quality control innovations and applications in industry 4.0. • Bioinformatics highlights the utility characteristics of quality indicators in TCM. • Artificial intelligence and bioinformatics interaction to enhance TCM quality control. • Shortcomings and countermeasures are foregrounded in the quality control of TCM.
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