Group 1 - The core viewpoint of the article emphasizes the digital transformation of the traditional Chinese medicine (TCM) industry through the integration of artificial intelligence and digital technologies to enhance drug development efficiency and production capabilities [1][3]. - The Ministry of Industry and Information Technology, along with six other departments, has jointly issued the "Implementation Plan for the Digital Transformation of the Pharmaceutical Industry (2025-2030)", outlining typical application scenarios for TCM and a list of digital transformation scenarios [1]. - The TCM industry has established a traceable data platform covering over 100 key Chinese medicine enterprises and 113 commonly used Chinese medicinal materials, laying a foundation for the development of digital TCM [1]. Group 2 - The article suggests that the TCM industry should focus on data mining and decision model research to improve the quality, efficiency, and effectiveness of traditional medicine innovation through the establishment of large databases [2]. - It highlights the need for intelligent design applications in TCM production, combining high-quality process data with mathematical modeling or AI algorithms to enhance process reliability and controllability [2]. - The article calls for the development of intelligent pharmaceutical equipment and software tailored to the characteristics of TCM production, as well as the digital transformation of medical institutions to create a comprehensive digital TCM service model [2]. Group 3 - Post-digital transformation, the TCM industry can leverage AI to enhance new drug development efficiency, utilize digital workshops for real-time process parameter control, and implement intelligent logistics and blockchain for transparent drug distribution management [3]. - These advancements are expected to drive the TCM industry towards higher-end, intelligent, and environmentally friendly practices [3].