BEIJING, CHINA / RankWire.AI / – Artificial intelligence is increasingly being incorporated into traditional Chinese medicine education, research, and clinical applications across China. Beijing University of Chinese Medicine has created a specialized large model focused on extensive TCM knowledge and educational resources. The Xinhuo TCM system encompasses classical texts, medical theories, herbal data, prescriptions, and instructional materials. The initial version was launched in 2025, with platform enhancements occurring throughout 2026.
According to the university, Xinhuo TCM now functions as a system with 70 billion parameters, built on prominent Chinese artificial intelligence platforms. It was designed to facilitate learning, teaching, research, administrative tasks, and international communication related to traditional Chinese medicine. Students can inquire about herbal combinations and receive explanations regarding formulas and their foundational principles. Additionally, the university has developed an intelligent robot capable of demonstrating traditional massage techniques for practical training purposes.
The application of AI in traditional Chinese medicine in China is expanding beyond education, now including medical knowledge management and clinical support tools. Digital platforms can organize historical medical literature and compile insights from seasoned practitioners to aid education and research. Researchers are also exploring AI for diagnostic data analysis, pre-consultation systems, and other decision-support applications. These initiatives reflect a broader effort to integrate traditional medical expertise with modern data and computational technologies.
China enhances digital infrastructure for TCM development
For the 2026 to 2030 period, China has incorporated artificial intelligence into its national strategy for traditional medicine development. The National Administration of Traditional Chinese Medicine and the National Development and Reform Commission published the plan in July. It emphasizes the creation of high-quality AI datasets tailored specifically for the traditional Chinese medicine sector. The strategy also advocates for the development of digital infrastructure, intelligent traditional medicine hospitals, and smart diagnostic support at primary healthcare facilities.
The framework underscores the importance of data governance alongside the deployment of AI tools across traditional medicine services. It calls for enhanced data classification, protection, and compliant circulation within healthcare, research, and related digital systems. The plan aims to promote the widespread use of standardized intelligent devices and digital technologies in clinical practice, education, scientific research, and management of traditional medicine information.
AI transitions from educational tools to clinical applications
Research released in 2026 has investigated how large language models function within traditional Chinese medicine healthcare environments. One study assessed an AI pre-consultation system at a tertiary traditional medicine hospital, noting initial positive responses from physicians. While doctors appreciated its ability to gather information prior to consultations, they were more cautious about its decision-support functions. The study highlighted ongoing challenges related to capturing patient complaints, workflow integration, documentation requirements, and accessibility for elderly patients.
Recent progress indicates AI’s growing presence across various sectors of China’s traditional Chinese medicine system. Xinhuo TCM has achieved national registration for generative AI services, establishing its compliance within China’s regulatory framework for public AI applications. Presently, AI is applied in education, research, knowledge management, hospital procedures, and auxiliary diagnostic systems. The 2026 to 2030 TCM development plan further envisions formal integration of AI datasets and digital infrastructure to support the sector’s advancement.