Application of Artificial Intelligence in the Development of Traditional Chinese Medicine

2025

Closed access Metadata (CSL-JSON)
DOI 10.1111/bcpt.70066
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

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.