Open Access
CC BY 4.0 · Pharmaceutical Fronts 2025; 07(02): e53-e64
DOI: 10.1055/a-2591-6341
Review Article

Progress on the Industrial Development of Traditional Chinese Medicine Based on Artificial Intelligence

Authors

  • Kun Ren

    1   School of Traditional Chinese Medicine, Shenyang Pharmaceutical University, Shenyang, Liaoning, People's Republic of China
  • Yannian Wang

    1   School of Traditional Chinese Medicine, Shenyang Pharmaceutical University, Shenyang, Liaoning, People's Republic of China
  • Yudan Zhao

    1   School of Traditional Chinese Medicine, Shenyang Pharmaceutical University, Shenyang, Liaoning, People's Republic of China
  • Weiyu Zhou

    1   School of Traditional Chinese Medicine, Shenyang Pharmaceutical University, Shenyang, Liaoning, People's Republic of China
  • Shumeng Ren

    1   School of Traditional Chinese Medicine, Shenyang Pharmaceutical University, Shenyang, Liaoning, People's Republic of China
  • Jianqiao Liu

    2   School of Pharmaceutical Engineering, Shenyang Pharmaceutical University, Shenyang, Liaoning, People's Republic of China
  • Na Han

    1   School of Traditional Chinese Medicine, Shenyang Pharmaceutical University, Shenyang, Liaoning, People's Republic of China
  • Ning Li

    1   School of Traditional Chinese Medicine, Shenyang Pharmaceutical University, Shenyang, Liaoning, People's Republic of China

Funding None.

Abstract

With the increasing demands for drug quality and safety, the traditional Chinese medicine (TCM) pharmaceutical industry is in urgent need of transformation and upgrading. This paper provides an overview of the current application and prospects of artificial intelligence (AI) in the TCM pharmaceutical field. It delves into the specific applications and advantages of AI in various stages such as the selection and harvesting of TCM materials, processing, extraction and purification, formulation, and quality control. The paper points out new directions for the application and development of AI in the TCM pharmaceutical industry, offering a new perspective and approach for the intelligent upgrade of the TCM industry. The aim is to promote the industry's transition toward intelligence and high-quality development, with the hope of providing valuable insights and references for the innovation and upgrade of the entire TCM industry.



Publication History

Received: 19 December 2024

Accepted: 18 April 2025

Article published online:
27 May 2025

© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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