The article "Integrating Artificial Intelligence into the Modernization of Traditional Chinese Medicine Industry: A Review" by E. Zhou, Qin Shen, and Yang Hou, published in *Frontiers in Pharmacology*, provides a comprehensive overview of the integration of artificial intelligence (AI) into various aspects of the traditional Chinese medicine (TCM) industry. The authors highlight the potential of AI in accelerating drug discovery, data mining, quality standardization, and industry technology, while also discussing the challenges and limitations of these applications. - **Drug Discovery**: AI technologies such as machine learning and deep learning are used to identify drug targets, screen active compounds, and predict ADMET properties, significantly improving the efficiency and accuracy of drug discovery. - **Data Mining**: AI is applied to analyze large-scale TCM prescription datasets, identify patterns in herbal combinations, and discover potential adverse reactions, enhancing the effectiveness and safety of TCM. - **Quality Standardization**: AI helps in the cultivation of high-quality TCM, identifies quality markers (Q-markers), and standardizes processing methods, ensuring the quality and safety of TCM products. - **Industry Technology**: AI supports auxiliary diagnosis, education, and health management in TCM, providing personalized treatment plans and improving patient care. - **Challenges**: The lack of a deep understanding of the molecular mechanisms of TCM and the complexity of TCM data pose significant challenges. Additionally, the need for clinical validation and the integration of AI with expert knowledge are crucial for successful applications. - **Future Directions**: The authors emphasize the importance of strengthening pharmacological research, establishing high-quality databases, and ensuring seamless cooperation between AI systems and TCM practitioners to overcome these challenges. The integration of AI into the modernization of TCM represents a promising frontier with great potential across all aspects of the TCM industry. While AI offers significant advancements, it also requires addressing limitations and challenges to fully realize its potential in TCM. The authors conclude by highlighting the need for continued research and development of AI technologies suitable for TCM to promote its modernization and provide better healthcare services.The article "Integrating Artificial Intelligence into the Modernization of Traditional Chinese Medicine Industry: A Review" by E. Zhou, Qin Shen, and Yang Hou, published in *Frontiers in Pharmacology*, provides a comprehensive overview of the integration of artificial intelligence (AI) into various aspects of the traditional Chinese medicine (TCM) industry. The authors highlight the potential of AI in accelerating drug discovery, data mining, quality standardization, and industry technology, while also discussing the challenges and limitations of these applications. - **Drug Discovery**: AI technologies such as machine learning and deep learning are used to identify drug targets, screen active compounds, and predict ADMET properties, significantly improving the efficiency and accuracy of drug discovery. - **Data Mining**: AI is applied to analyze large-scale TCM prescription datasets, identify patterns in herbal combinations, and discover potential adverse reactions, enhancing the effectiveness and safety of TCM. - **Quality Standardization**: AI helps in the cultivation of high-quality TCM, identifies quality markers (Q-markers), and standardizes processing methods, ensuring the quality and safety of TCM products. - **Industry Technology**: AI supports auxiliary diagnosis, education, and health management in TCM, providing personalized treatment plans and improving patient care. - **Challenges**: The lack of a deep understanding of the molecular mechanisms of TCM and the complexity of TCM data pose significant challenges. Additionally, the need for clinical validation and the integration of AI with expert knowledge are crucial for successful applications. - **Future Directions**: The authors emphasize the importance of strengthening pharmacological research, establishing high-quality databases, and ensuring seamless cooperation between AI systems and TCM practitioners to overcome these challenges. The integration of AI into the modernization of TCM represents a promising frontier with great potential across all aspects of the TCM industry. While AI offers significant advancements, it also requires addressing limitations and challenges to fully realize its potential in TCM. The authors conclude by highlighting the need for continued research and development of AI technologies suitable for TCM to promote its modernization and provide better healthcare services.