摘要
目的:探究人工智能(AI)技术如何在中医药领域,特别是在中药新药的质量评价中发挥关键作用,并促进其与传统医学的融合。方法:通过市场调研、文献查询的方法,深入分析AI在处理不断增加的中药材种类和复杂的评价标准中的作用,探索AI技术克服传统方法局限、促进中药质量评价体系发展的具体策略。结果:应用AI技术于中药新药的质量评价不仅提高了疗效,还成功降低了药物副作用和整体健康护理成本。人工智能在中医药领域的运用已经成为现代科技与传统医学结合的一个典范。结论:AI技术的运用标志着医疗领域向着更高效、更精准、更个性化的未来迈出了重要一步。AI技术的进一步发展和应用预计将推动中药研发和应用达到新的水平,并对全人类的健康事业产生深远的影响。
Objective:To explore the key role of artificial intelligence(AI)technology in the field of traditional Chinese medicine(TCM),especially in the quality evaluation of the New Chinese Medicine and promote its integration with traditional medicine.Methods:Employing market research and literature query,AI's function in dealing with the increasing variety of Chinese medicinal materials and intricate standards of evaluation was deeply analyzed.In addition,the specific strategies for AI technology to overcome the limitations of traditional methodologies and promote the development of the quality assessment system for TCM were explored.Results:The application of AI technology in the quality evaluation of the New Chinese Medicine not only heightened therapeutic efficacy but also succeeded in reducing drug-related side effects and overall healthcare costs.Moreover,the application of artificial intelligence within the domain of TCM has become a model of the combination of modern science and technology and traditional medicine.Conclusion:The utilization of AI technology marks an important step towards a more efficient,accurate,and personalized future in the medical field.The further development and application of AI are expected to propel the research and development and application of TCM to a new level,with profound implications for the health endeavors of all humankind.
作者
母慧娟
王一川
Mu Huijuan;Wang Yichuan(Shandong University of Traditional Chinese Medicine Affiliated Hospital,Jinan 250014,China)
出处
《中国药事》
CAS
2024年第6期644-652,共9页
Chinese Pharmaceutical Affairs
基金
国家自然科学基金(编号82204881)。
关键词
人工智能
中药新药
质量评价
持续改进
新药研发
artificial intelligence
new traditional Chinese medicine
quality evaluation
continual improvement
drug discovery