Zhou E, Shen Qin, Hou Yang
Yuhu District Healthcare Security Administration, Xiangtan, China.
Department of Respiratory Medicine, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, China.
Front Pharmacol. 2024 Feb 23;15:1181183. doi: 10.3389/fphar.2024.1181183. eCollection 2024.
Traditional Chinese medicine (TCM) is the practical experience and summary of the Chinese nation for thousands of years. It shows great potential in treating various chronic diseases, complex diseases and major infectious diseases, and has gradually attracted the attention of people all over the world. However, due to the complexity of prescription and action mechanism of TCM, the development of TCM industry is still in a relatively conservative stage. With the rise of artificial intelligence technology in various fields, many scholars began to apply artificial intelligence technology to traditional Chinese medicine industry and made remarkable progress. This paper comprehensively summarizes the important role of artificial intelligence in the development of traditional Chinese medicine industry from various aspects, including new drug discovery, data mining, quality standardization and industry technology of traditional Chinese medicine. The limitations of artificial intelligence in these applications are also emphasized, including the lack of pharmacological research, database quality problems and the challenges brought by human-computer interaction. Nevertheless, the development of artificial intelligence has brought new opportunities and innovations to the modernization of traditional Chinese medicine. Integrating artificial intelligence technology into the comprehensive application of Chinese medicine industry is expected to overcome the major problems faced by traditional Chinese medicine industry and further promote the modernization of the whole traditional Chinese medicine industry.
中医是中华民族数千年的实践经验总结。它在治疗各类慢性病、复杂疾病和重大传染病方面展现出巨大潜力,并逐渐引起了全世界人民的关注。然而,由于中医方剂和作用机制的复杂性,中医药产业的发展仍处于相对保守的阶段。随着人工智能技术在各个领域的兴起,许多学者开始将人工智能技术应用于中医药产业,并取得了显著进展。本文从多个方面全面总结了人工智能在中医药产业发展中的重要作用,包括中药新药发现、数据挖掘、质量标准化以及中医药产业技术等。同时也强调了人工智能在这些应用中的局限性,包括缺乏药理研究、数据库质量问题以及人机交互带来的挑战。尽管如此,人工智能的发展为中医药现代化带来了新的机遇和创新。将人工智能技术融入中医药产业的综合应用有望克服中医药产业面临的重大问题,并进一步推动整个中医药产业的现代化。