辽宁师专学报(自然科学版)2024,Vol.26Issue(1) :58-62.

人工智能技术在中医诊疗中的应用进展

Application progress of artificial intelligence technology in TCM diagnosis and treatment

祝昌昊 郭杏林
辽宁师专学报(自然科学版)2024,Vol.26Issue(1) :58-62.

人工智能技术在中医诊疗中的应用进展

Application progress of artificial intelligence technology in TCM diagnosis and treatment

祝昌昊 1郭杏林1
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作者信息

  • 1. 天津中医药大学第一附属医院肾病科,天津 300381;国家中医针灸临床医学研究中心肾病科,天津 300381
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摘要

探讨人工智能技术在中医诊疗中的应用现状及发展趋势.从中医四诊智能化、临床治疗标准化、健康管理个性化、经验传承高效化4个方面进行文献归纳和评述,以此阐述人工智能技术在中医诊疗中的应用进展.综述可知,人工智能技术是中医智能诊疗的重要方向,通过引入人工智能技术,可以进一步提升四诊信息客观化、治疗方案规范化、健康管理精准化及传承工作的高质量发展.人工智能技术和中医诊疗相互融合,为中医药卫生事业的健康快速发展提供了更为有力的支持和保障.

Abstract

This paper explores the application status and development trend of artificial intelligence technology in the diagnosis and treatment of traditional Chinese medicine.Literature summary and review are conducted from four aspects of intelligent four-diagnosis of traditional Chinese medicine,standardized clinical treatment,persona-lized health management and efficient experience inheritance so as to elaborate the application progress of artificial intelligence technology in the diagnosis and treatment of traditional Chinese medicine.It can be seen from the sum-mary that artificial intelligence technology is an important direction of intelligent diagnosis and treatment in tradi-tional Chinese medicine,and the introduction of artificial intelligence technology can further improve the objectifi-cation of four-diagnosis information,the standardization of treatment plans,the precision of health management and the high-quality development of inheritance work.The integration of artificial intelligence technology and tra-ditional Chinese medicine diagnosis and treatment provides more powerful support and guarantee for the healthy and rapid development of traditional Chinese medicine and health care.

关键词

人工智能/中医诊疗/智能诊疗/应用进展

Key words

artificial intelligence/diagnosis and treatment of traditional Chinese medicine/intelligent diagnosis and treatment/application progress

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出版年

2024
辽宁师专学报(自然科学版)
辽宁省教育厅

辽宁师专学报(自然科学版)

影响因子:0.373
ISSN:1008-5688
参考文献量32
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