Prospects of Application of AI Technology in the Drug Control System

Liu Yu, Li Jianghui, Wang Hui, Fu Li

Chinese Pharmaceutical Affairs ›› 2025, Vol. 39 ›› Issue (4) : 363-369.

PDF(1056 KB)
PDF(1056 KB)
Chinese Pharmaceutical Affairs ›› 2025, Vol. 39 ›› Issue (4) : 363-369. DOI: 10.16153/j.1002-7777.2024-12-0038
Supervision & Administration

Prospects of Application of AI Technology in the Drug Control System

Author information +
History +

Abstract

Objective: To explore the prospects of artificial intelligence (AI) in the drug control system based on the current development of AI technology, so as to further promot the development of drug control. Methods: The current AI technology was analyzed, and its application scenarios in the drug control system were discussed by considering the actual conditions of the system. In addition, the existing issues were analyzed and the solutions were proposed. Results and Conclusion: AI technology, as an emerging auxiliary tool, has great potential and is of great significance for improving the efficiency and quality of the drug control system. In the face of this upcoming change, it is essential to have a clear understanding, reasonable planning, and adequate preparation to ensure the sustainable development of AI technology in the drug control system.

Key words

AI technology / drug control system / efficiency improvement / sustainable development / application prospects

Cite this article

Download Citations
Liu Yu, Li Jianghui, Wang Hui, et al. Prospects of Application of AI Technology in the Drug Control System[J]. Chinese Pharmaceutical Affairs, 2025, 39(4): 363-369 https://doi.org/10.16153/j.1002-7777.2024-12-0038

References

[1] 新华社.习近平致第三届世界智能大会的贺信[N/OL].(2019-05-16)[2024-12-19]. https://www.gov.cn/xinwen/2019-05/16/content_5392199.htm.
[2] 国家药品监督管理局.国家药监局综合司关于印发药品监管人工智能典型应用场景清单的通知:药监综函〔2024〕313号[EB/OL].(2024-6-18)[2024-12-19]. https://www.nmpa.gov.cn/xxgk/fgwj/gzwj/gzwjzh/20240618144318144.html.
[3] 傅文军,谭伟,胡露航.从判别式人工智能到生成式人工智能的演进逻辑及场景策略研究[J].中国仪器仪表,2024(10):17-21.
[4] 张波,张雪英,陈桂军,等.基于类内超平面距离度量模糊支持向量机的语音情感识别[J].现代电子技术,2018,41(16):163-167.
[5] 夏润泽,李丕绩. ChatGPT大模型技术发展与应用[J].数据采集与处理,2023,38(5):1017-1034.
[6] 杜立平,宋燕红,李晓东,等. GAN在AI领域的应用研究[J].北京电子科技学院学报,2018,26(3):85-93.
[7] 谢宗万. 中药品种传统经验鉴别“辨状论质”论[J].时珍国药研究,1994,5(3):19-21.
[8] 王凌诗,王良信.中药材性状特征的质量评价[J].中草药,1999,30(5):371-374.
[9] 徐雅静,俞捷,余远盼,等.人工智能在中药材及饮片鉴别领域的应用[J].中华中医药学刊,2022,40(8):47-50.
[10] 吴冲. 基于深度学习的中药材鉴别方法研究[D]. 成都:四川大学,2021:1-69.
[11] 刘瑞新,郝小佳,张慧杰,等.基于电子眼技术的中药川贝母真伪及规格的快速辨识研究[J].中国中药杂志,2020,45(14):3441-3451.
[12] 李明利,高文雅,王宏洁,等.基于“经验-成分-活性-电子感官”的中药饮片质量综合评价体系的探讨[J].中国中药杂志,2022,47(8):1995-2007.
[13] 刘振东,兰金旭,陈随清. HPLC结合电子眼技术分析不同采收期的枸橘药材质量[J].中国中药杂志,2021,46(20):5253-5259.
[14] 范林宏,范文翔,韦志强,等.基于中药外观性状构建中药材品质的近红外快速评价体系[J].中药与临床,2021,12(4):14-19.
[15] 冯绘敏,侯一哲,黄天赐,等.电子传感技术在中药材及农产品分析领域的应用研究进展[J].分析测试技术与仪器,2020,26(4):239-248.
[16] 白杰,高利利,张志勤,等.电子舌技术的原理及在中药领域的应用[J].中南药学,2021,19(1):78-84.
[17] 赵静,汤文玉,霍钰,等. 大模型检索增强生成(RAG)技术浅析[J].中国信息化,2024(10):70-72.
[18] 吴强. 多模态检索数据增强方法研究[J].智能计算机与应用,2024,14(7):227-230.
[19] 罗文培,黄德根.大模型增强的跨模态图文检索方法[J/OL].(2024-09-25)[2024-12-19].http://kns.cnki.net/kcms/detail/21.1106.TP.20240925.1456.008.html.
[20] 郑正,汪海宣,刘业飞. LIMS系统在食品药品检验检测机构中的实施[J].中小企业管理与科技(中旬刊),2017 (7):139-140.
[21] 刘方可,周志敏,陈华. STARLIMS在广西FDA实验室的应用和实施[J].中国西部科技,2014,13(9):60-61.
[22] 哈玲玲,张中湖,姜广苓,等.食品药品检验检测信息化建设发展现状与经验介绍——以山东省食品药品检验研究院为例[J].药学研究,2019,38(2):120-124.
[23] 黄雪芹,张胜,朱先强,等.生成式任务网:基于大模型的自主任务规划与执行范式[J/OL].(2024-12-11)[2024-12-19].http://kns.cnki.net/kcms/detail/50.1075.TP.20241211.1704.024.html.
[24] 蒋美玲,唐力华,钟远生.智能机器人在检验检测实验室的应用研究综述[J].机电工程技术,2024,53(2):51-55.
[25] 肖泽晓,黄自成.新质生产力引领柔性生产[J].中国电信业,2024(10):28-31.
[26] 崔娜,刘雯,陈岩. AIGC在编程领域的应用与探究[J].智慧中国,2024 (7):48-49.
[27] 王彬,马兴录,陈彦泽.基于AIGC的机械臂抓取动作序列自动生成研究[J/OL].(2024-12-02)[2024-12-19].http://kns.cnki.net/kcms/detail/11.4762.tp.20241202.1514.011.html.
[28] 网易.特斯拉机器人“里程碑”:22个自由度灵巧手来了[N/OL].(2024-11-29)[2024-12-19].https://www.163.com/dy/article/JI5QD3880511A6N9.html.
PDF(1056 KB)

55

Accesses

0

Citation

Detail

Sections
Recommended

/