Exploring the potential of acupuncture practice education using artificial intelligence

IF 2.8 4区 医学 Q2 INTEGRATIVE & COMPLEMENTARY MEDICINE
Kyeong Han Kim , Hyein Jeong , Gyeong Seo Lee , Seung-Hee Lee
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引用次数: 0

Abstract

Generative artificial intelligence (AI) is being applied in various areas such as education, clinical practice, and research within the medical field. This review explores the potential use of AI models in acupuncture practice education. Recent and relevant findings were searched from literature. Active research on the use of AI in acupuncture education, particularly in areas such as acupoint selection and acupuncture manipulation, is ongoing. Additionally, AI-powered educational tools are being developed in the field of traditional medicine. The development of AI-driven educational tools for acupuncture education holds significant potential to enhance the effectiveness and efficiency of traditional medicine education.
利用人工智能探索针灸实践教育的潜力
生成式人工智能(AI)正在医学领域的教育、临床实践、研究等各个领域得到应用。这篇综述探讨了人工智能模型在针灸实践教育中的潜在应用。从文献中检索了最近的相关发现。正在积极研究人工智能在针灸教育中的应用,特别是在穴位选择和针灸操作等领域。此外,传统医学领域正在开发人工智能教育工具。人工智能驱动的针灸教育工具的开发对提高传统医学教育的有效性和效率具有巨大的潜力。
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来源期刊
Integrative Medicine Research
Integrative Medicine Research Medicine-Complementary and Alternative Medicine
CiteScore
6.50
自引率
2.90%
发文量
65
审稿时长
12 weeks
期刊介绍: Integrative Medicine Research (IMR) is a quarterly, peer-reviewed journal focused on scientific research for integrative medicine including traditional medicine (emphasis on acupuncture and herbal medicine), complementary and alternative medicine, and systems medicine. The journal includes papers on basic research, clinical research, methodology, theory, computational analysis and modelling, topical reviews, medical history, education and policy based on physiology, pathology, diagnosis and the systems approach in the field of integrative medicine.
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