中医智能诊疗机器人的临床应用研究  

Clinical Application Research of Traditional Chinese Medicine Intelligent Diagnosis and Treatment Robot

作　　者：孙艳秋[1] 燕燕[1] 李思思 SUN Yanqiu;YAN Yan;LI Sisi(School of Information Engineering,Liaoning University of Traditional Chinese Medicine,Shenyang 110847,Liaoning,China)

机构地区：[1]辽宁中医药大学信息工程学院,辽宁沈阳110847

出　　处：《中华中医药学刊》2024年第3期19-23,共5页Chinese Archives of Traditional Chinese Medicine

基　　金：辽宁省教育厅科学技术研究重点攻关项目(L2020059);辽宁中医药大学人文社会科学研究项目资政建议专题项目(004)。

摘　　要：研究立足于各类人工智能算法在中医诊断中的应用现状及问题。主要介绍传统机器学习算法以及近年来新兴的深度学习算法与中医四诊相契合的场景;探索将人工智能技术引入中医诊断过程,以进一步推动中医的客观化、定量化发展的智能诊疗机器人设计。针对中国目前中医诊疗仪器在临床领域研发应用现状,引入机器人技术,以促进中医诊疗仪器创新发展,推动中医理论研究与诊疗技术的协同发展,使中医诊疗技术在提高人民健康和生活水平方面发挥重要作用。This research is based on the application status and problems of various artificial intelligence algorithms in traditional Chinese medicine diagnosis and mainly introduces the traditional machine learning algorithms.In recent years,the emerging depth learning algorithm is consistent with the four diagnostic scenarios of traditional Chinese medicine.It explored the design of intelligent diagnosis and treatment robots that can further promote the objective and quantitative development of traditional Chinese medicine by introducing artificial intelligence technology.In response to the current research and application status of traditional Chinese medicine diagnostic and treatment instruments in the clinical field in China,the robot technology is introduced to promote the innovative development of traditional Chinese medicine diagnostic and treatment equipment,the collaborative development of theoretical research and diagnostic and treatment technology of traditional Chinese medicine,and make traditional Chinese medicine diagnostic and treatment technology play a vital role in improving people's health and living standards.

关 键 词：中医药 人工智能 临床应用 

分 类 号：R2-03[医药卫生—中医学]