针灸科
医学
大数据
虚拟现实
中医药
传统医学
替代医学
医学教育
人工智能
病理
数据挖掘
计算机科学
作者
Sha Yang,Jing Guo,Dingjun Cai,Jun Ye,Wei Zhang,Yi Zhang,Min Hu,Jiasi Wu,Siying Huang,Jielin Zhou,Yong Tang,Fang Zeng,Shuguang Yu
出处
期刊:Medical Acupuncture
[Mary Ann Liebert, Inc.]
日期:2025-04-01
卷期号:37 (2): 139-146
标识
DOI:10.1089/acu.2024.0124
摘要
Acupuncture is widely recognized as the primary form of traditional medical treatment on a global scale, leading to a heightened emphasis on the training and development of proficient acupuncture professionals. The development of proficient practitioners in the field of acupuncture is hindered by the substantial challenges associated with augmenting system integration capabilities for clinical application and active participation in clinical operations. It is imperative to adhere to a combination of broad and specialized knowledge in order to establish a robust educational base, facilitate effective knowledge transfer, maintain a harmonious emphasis on theoretical understanding, refine practical skills, and improve clinical proficiency. Embracing collaborative educational strategies, fostering cross-disciplinary integration, and promoting innovative approaches are essential components for enhancing the educational experience in acupuncture. The incorporation of internet, Big Data, artificial intelligence, virtual reality, and other technologies into acupuncture and moxibustion education holds significant importance in advancing the innovation and development of acupuncture education. This article presents practical experiences in integrating digital intelligence with acupuncture talent training at Chengdu University of Traditional Chinese Medicine. The content includes the objectives of acupuncture talent development, a strategic plan for reforming acupuncture talent in practical and classroom teaching, and serves as a valuable reference for acupuncture education.
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