Research Progress and Application Prospects of Digitalization in Traditional Chinese Medicine Ancient Texts
Zhang Jingyi1, Li Xiao1, Huang Xiaoying2, Zhu Qi1, Lu Tianqian1
1. Heilongjiang University of Traditional Chinese Medicine,Harbin 150030,China; 2. The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine Harbin 150030,China
Abstract:Ancient Chinese medical texts serve as the core carriers for the inheritance and innovation of traditional Chinese medicine(TCM)scholarship.The digitalization of these texts offers a novel pathway for their utilization,preservation,and dissemination.Given the challenges TCM ancient texts face—such as obscure knowledge,disconnection between ancient and modern contexts,and incomplete mechanisms for application and transformation—there is an urgent need to leverage artificial intelligence and big data technologies to overcome technical and practical hurdles.This paper systematically reviews research advancements in the digitalization of TCM ancient texts across data organization,technological applications,platform development,and clinical empowerment.It also outlines future directions,including precise clinical decision-making support,the intelligent inheritance of renowned physicians' expertise,auxiliary drug development,and multidisciplinary integration.The goal is to elevate TCM ancient texts from "support tools"to"decision-making partners," providing theoretical foundations and practical references for the intelligent inheritance and innovative development of TCM.
张婧懿, 李晓, 黄晓莹, 朱琪, 卢天塨. 中医药古籍数智化的研究进展与应用前景[J]. 哈尔滨医药, 2026, 46(1): 131-135.
Zhang Jingyi, Li Xiao, Huang Xiaoying, Zhu Qi, Lu Tianqian. Research Progress and Application Prospects of Digitalization in Traditional Chinese Medicine Ancient Texts. journal1, 2026, 46(1): 131-135.