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人工智能与中医诊断技术
徐佳君1,2, 雷黄伟1,2, 高新皓3, 罗志明3, 李绍滋3, 翁慧1,2, 李灿东1,2,4
1.福建中医药大学中医学院, 福州 350122;2.福建省中医健康状态辨识重点实验室, 福州 350122;3.厦门大学信息学院人工智能系, 厦门 361005;4.福建中医药大学李灿东岐黄学者工作室, 福州 350122
摘要:
人工智能技术将有助于推动中医诊断技术的发展与进步,尤其在解决中医四诊信息客观化采集和术语规范化研究瓶颈问题上。文章阐述了人工智能技术与中医四诊以及四诊合参的研究现状和问题,论述了课题组利用人工智能技术进行诊断术语规范化的研究进展,并进一步总结提出中医诊断人工智能化的发展方向和研究重点。
关键词:  中医诊断  人工智能  中医四诊  诊断术语  规范化
DOI:10.11656/j.issn.1672-1519.2021.05.04
分类号:R241
基金项目:国家自然科学基金联合基金项目(U1705286);中央高校基本科研业务费专项资金资助(20720200030)。
Artificial intelligence and traditional Chinese medicine diagnostic technology
XU Jiajun1,2, LEI Huangwei1,2, GAO Xinhao3, LUO Zhiming3, LI Shaozi3, WENG Hui1,2, LI Candong1,2,4
1.College of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China;2.Key Laboratory of Traditional Chinese Medicine Health Status Identification in Fujian Province, Fuzhou 350122, China;3.Department of Artificial Intelligence, School of Information, Xiamen University, Xiamen 361005, China;4.LI Candong Qihuang Scholar Studio, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
Abstract:
Artificial intelligence technology will help to promote the development and progress of traditional Chinese medicine (TCM) diagnostic technology,especially in solving the bottleneck problem of the objective collection of the four diagnostic information of TCM and the standardization of terminology research. The article expounds the research status and problems of artificial intelligence technology and the four diagnosis of traditional Chinese medicine and the joint of four diagnosis,discusses the research progress of the research group using artificial intelligence technology to standardize diagnostic terms,and further summarizes and proposes the development direction and research focus of artificial intelligence of TCM diagnosis.
Key words:  traditional Chinese medicine diagnosis  artificial intelligence  four diagnostic methods of traditional Chinese medicine  diagnostic term  standardize
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