[人工智能在针和的基础研究中的应用前景]
Xuan Wang1, Yue Gao1, Qianqian Wu1
1Jiangsu Medical Vocational College, Yancheng 224005, China.
Zhongguo zhen jiu = Chinese acupuncture & moxibustion
|January 20, 2026
概括
人工智能 (AI) 提供了先进的技术,如深度学习,以克服针和摩克西布斯研究中的挑战. 本研究探讨了人工智能集成,以提高对这些传统实践的科学理解.
科学领域:
- 综合医学是一个整体的医学.
- 生物医学研究的研究.
- 计算科学是一种计算科学.
背景情况:
- 针和催化剂研究在基础科学中面临技术障碍.
- 传统的研究方法可能会限制全面的理解.
- 人工智能的进步提供了新的分析能力.
研究的目的:
- 分析当前的针和摩克西布施研究模式,并确定现有的问题.
- 探索人工智能 (AI) 技术在这一领域的整合点.
- 为未来人工智能在基本针和摩克西布斯研究中的应用提供参考.
主要方法:
- 针和moxibustion基础研究的文献综述.
- 对现有研究方法的分析.
- 识别适用于针和催化剂的人工智能技术.
主要成果:
- 人工智能在神经网络,深度学习和精确分析方面的突破可以解决研究的局限性.
- 确定了在针和摩克西布施研究中人工智能应用的具体整合点.
- 这项研究为利用人工智能在这个领域提供了基础.
结论:
- 人工智能提供关键的指导和支持,以克服基本针和moxibustion研究中的技术障碍.
- 整合人工智能技术有望提高这一领域的科学调查的深度和范围.
- 这项工作为未来的研究方向提供了基础,利用人工智能在针和摩克西布斯研究中.
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