摘要
近年来，深度学习助力中医现代化与智能化发展。其在中医诊断中，处理四诊信息提升诊断客观性与准确性；中药研究里，结合光谱等技术实现药材识别、成分分析及相互作用预测；针灸领域通过穴位定位算法等优化治疗精准度与疗效评估。不过，中医数据标准化、模型可解释性和跨学科融合存在挑战。未来要结合中医理论优化算法，推动中医与现代技术深度融合。
关键词： 深度学习；中医；人工智能；诊断；中药；针灸
Abstract
In recent years, deep learning has helped the modernization and intelligent development of traditional Chinese medicine. In the diagnosis of traditional Chinese medicine, the information of the four diagnosis is processed to improve the objectivity and accuracy of diagnosis. In the research of traditional Chinese medicine, the identification, component analysis, and interaction prediction of medicinal materials are realized by combining spectroscopy and other technologies. In the field of acupuncture and moxibustion, acupoint positioning are used to optimize treatment accuracy and efficacy evaluation. However, there are still challenges remain in data standardization, model interpretability, and interdisciplinary integration. In the future, it is necessary to combine optimization algorithm of traditional Chinese medicine theory and to promote the deep integration of traditional Chinese medicine and modern technology.
Key words： Deep learning; Traditional Chinese Medicine; Artificial intelligence; Diagnosis; Traditional Chinese medicine; Acupuncture and moxibustion
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