中国中药杂志2026，Vol.51Issue(5)：1229-1238,10.DOI:10.19540/j.cnki.cjcmm.20251121.503
人工智能在中药处方推荐中的应用及研究进展
Application and research progress of artificial intelligence in TCM prescription recommendation
摘要
Abstract
TCM prescription recommendations play a crucial role in TCM treatment,aiming to recommend a set of TCM to treat patients' symptoms.Currently,the rapid development of artificial intelligence(AI)has brought new challenges and opportunities to TCM.AI-enhanced TCM recommendation systems can standardize the extensive and diverse relationships between formulas and syndromes,thereby helping to optimize standard formulas.Although recommendation systems have been widely applied in fields such as e-commerce,video,and news,the integration of AI with TCM prescription recommendation systems is still in its infancy and faces numerous challenges.Additionally,there is currently a lack of systematic literature reviews on TCM recommendation systems.This review systematically summarized the latest advancements in TCM recommendation systems.It summarized the data characteristics,processing methods,classification approaches,and evaluation metrics in TCM recommendation systems.This review aims to provide valuable information for the research field,assisting researchers in developing strategic plans for the advancement of TCM prescription recommendation systems.关键词
人工智能/中医药/中药处方/推荐系统Key words
artificial intelligence/TCM/TCM prescription/recommendation system引用本文复制引用
李欢,赵冉冉,韩星星,陈凤鸣,唐志书..人工智能在中药处方推荐中的应用及研究进展[J].中国中药杂志,2026,51(5):1229-1238,10.基金项目
国家自然科学基金面上项目(82274107) （82274107）
国家中医药管理局中医药传承与创新"百千万"人才工程(岐黄工程)岐黄学者项目(2021) （岐黄工程）
中央本级重大增减支项目(2060320) （2060320）
