中华中医药学刊2024,Vol.42Issue(3) :19-23.DOI:10.13193/j.issn.1673-7717.2024.03.004

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

孙艳秋 燕燕 李思思
中华中医药学刊2024,Vol.42Issue(3) :19-23.DOI:10.13193/j.issn.1673-7717.2024.03.004

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

孙艳秋 1燕燕 1李思思1
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作者信息

  • 1. 辽宁中医药大学信息工程学院,辽宁沈阳 110847
  • 折叠

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.

Abstract

This research is based on the application status and problems of various artificial intelligence algorithms in tradi-tional Chinese medicine diagnosis and mainly introduces the traditional machine learning algorithms.In recent years,the emer-ging depth learning algorithm is consistent with the four diagnostic scenarios of traditional Chinese medicine.It explored the de-sign 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 de-velopment 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

Key words

traditional Chinese medicine/artificial intelligence/clinical application

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基金项目

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项(004)

出版年

2024
中华中医药学刊
中华中医药学会 ,辽宁中医药大学

中华中医药学刊

CSTPCD北大核心
影响因子:1.007
ISSN:1673-7717
参考文献量33
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