摘要
本研究从技术落地应用的角度出发,描述和评论目前中医诊断领域常用的AI技术的应用历史、现状及与中医诊断需求之间切合程度等问题,包括专家系统用于智能辨证、图像诊断和望诊、自然语言处理和问诊、传感器和智能硬件用于闻诊、切诊等;分析和预测和描绘未来AI相关新技术在中医诊断领域应用的趋势,包括多模态信息融合的中医智能化思路、物联网拓展诊断信息边界、区块链+联邦学习破解隐私安全需求与数据协作共享矛盾,以及通用中医思维知识图谱助力智能装备辅助诊断。
From the perspective of technology application, this study described and commented on the application history and current situation of artificial intelligence(AI) technology commonly used in the field of traditional Chinese medicine(TCM) diagnosis, as well as the degree of fit with the needs of TCM diagnosis, including expert system for intelligent syndrome differentiation, image diagnosis and inspection, natural language processing and inquiry, sensors and intelligent hardware for diagnosis, diagnosis, etc. This study analyzed and described the application trend of AI technology in the field of TCM diagnosis in the future, including the intelligent thinking of TCM based on multi-source information fusion, the expansion of diagnostic information boundary by the Internet of things, blockchain + federal learning to solve the contradiction between privacy security requirements and data cooperation and sharing, and the general knowledge map of TCM to assist intelligent equipment auxiliary diagnosis.
作者
王俊文
叶壮志
Wang Junwen;Ye Zhuangzhi(Institute of Basic Theory of Traditional Chinese Medicine,China Academy of Chinese Medical Sciences,Beijing 100700,China;China Printing Science and Technology Research Institute,Beijing 100036,China)
出处
《世界科学技术-中医药现代化》
CSCD
北大核心
2022年第2期810-814,共5页
Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology
基金
国家自然科学基金委员会面上项目(82074334):基于多源信息融合和领域本体的中医装备辅助诊断模型研究——以膝关节骨性关节炎为例,负责人:王俊文
北京市自然科学基金委员会面上项目(7192140):基于便携式设备的多源四诊信息采集及融合模型,负责人:王俊文
中央级公益性科研院所基本科研业务费专项(YZ-202015):基于现代文献的冠心病稳定型心绞痛中医辅助诊断模型研究,负责人:王俊文。
关键词
专家系统
图像诊断
自然语言处理
传感器和智能硬件
多模态信息融合
Expert system
Image diagnosis
Natural language processing
Sensor and intelligent hardware
Multimodal data fusion
作者简介
通讯作者:王俊文,研究员,主要研究方向:中医药大数据与智能辅助诊断。
