Application of Artificial Intelligence in the Development of Traditional Chinese Medicine
He X. Sun M. Battulga T. Copp B.R. Rustamovna D.K. Li H. Shahsaidovich S.S. Jenis J. Wang Y. Liang L. Zhang J.
July 2025John Wiley and Sons Inc
Basic and Clinical Pharmacology and Toxicology
2025#137Issue 1
Traditional Chinese medicine (TCM) has long been recognized for its mild therapeutic effects, significant efficacy and minimal adverse reactions. However, challenges such as reliance on human expertise in TCM production and quality control, unclear compositions and usage of TCM and ambiguous targets hinder its sustainable development. The emergence of artificial intelligence (AI) provides transformative potential for addressing these limitations. Recent studies have demonstrated that AI promotes the intelligent industrialization of TCM, ensures effective TCM quality, assists in the discovery of TCM targets and recommends scientifically formulated TCM prescriptions. This review consolidates and evaluates recent progress in applying AI to TCM, with a focus on pharmaceutical development, quality control and research innovation. By providing a detailed and systematic overview, this review aims to highlight the role of AI in advancing the scientific and sustainable evolution of TCM.
artificial intelligence , quality control , TCM production , TCM research , Traditional Chinese Medicine
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The Fifth Affiliated Hospital, Guangzhou Municipal and Guangdong Provincial Key Laboratory of Molecular Target & Clinical Pharmacology, the NMPA and State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences, Guangzhou Medical University, Guangzhou, China
The Affiliated Traditional Chinese Medicine Hospital, Guangzhou Medical University, Guangzhou, China
School of Pharmacy, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
School of Chemical Sciences, The University of Auckland, Auckland, New Zealand
Institute of the Chemistry of Plant Substances of Academy of Science, Tashkent, Uzbekistan
Ministry of Education Engineering Research Center of Tibetan Medicine Detection Technology, Xizang Minzu University, Xianyang, China
Research Center for Medicinal Plants, Al-Farabi Kazakh National University, Almaty, Kazakhstan
Research Institute for Natural Products & Technology, Almaty, Kazakhstan
The Affiliated Qingyuan Hospital (Qingyuan Peoples Hospital), Guangzhou Medical University, Qingyuan, China
The Fifth Affiliated Hospital
The Affiliated Traditional Chinese Medicine Hospital
School of Pharmacy
School of Chemical Sciences
Institute of the Chemistry of Plant Substances of Academy of Science
Ministry of Education Engineering Research Center of Tibetan Medicine Detection Technology
Research Center for Medicinal Plants
Research Institute for Natural Products & Technology
The Affiliated Qingyuan Hospital (Qingyuan Peoples Hospital)
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