BEIJING, CHINA / RankWire.AI / – Artificial intelligence is increasingly integrated into traditional Chinese medicine education, research, and clinical practices across China. Beijing University of Chinese Medicine has created a specialized large model centered on comprehensive TCM knowledge and educational materials. The Xinhuo TCM system incorporates classical texts, medical theories, herbal data, prescriptions, and teaching resources. Its initial version was launched in 2025, with an expanded platform introduced during 2026.
According to the university, Xinhuo TCM now functions as a system with 70 billion parameters, built upon major Chinese AI platforms. The developers designed this model to facilitate learning, teaching, research, administration, and international communication in traditional Chinese medicine. Students can inquire about herbal combinations and receive explanations concerning formulas and their foundational principles. Additionally, the university has developed an intelligent robot that demonstrates traditional massage techniques for hands-on instruction.
AI’s expanding role in traditional Chinese medicine in China also includes medical knowledge management and clinical decision support tools. Digital systems are capable of organizing historical medical literature and structuring information from experienced practitioners for education and research purposes. Researchers are exploring artificial intelligence applications for diagnostic data, pre-consultation systems, and other decision support functions. These initiatives exemplify a broader effort to link traditional medical knowledge with modern data systems and computing technology.
China advances digital infrastructure for TCM
Within its national development framework for 2026 to 2030, China has incorporated artificial intelligence into its traditional medicine growth strategy. The National Administration of Traditional Chinese Medicine along with the National Development and Reform Commission issued the plan in July. The strategy emphasizes the creation of high-quality AI datasets tailored specifically for the traditional Chinese medicine sector. It also promotes digital infrastructure, the establishment of intelligent traditional medicine hospitals, and smart diagnostic support at primary healthcare facilities.
This national plan emphasizes data governance alongside the expansion of AI tools within the traditional medicine system. It advocates for enhanced data classification, protection, and compliant circulation across healthcare, research, and related digital services. Authorities aim to increase the use of standardized intelligent equipment and digital technologies in traditional Chinese medicine, covering clinical care, education, scientific research, and information management.
AI technology transitions from education to clinical applications
Research published in 2026 has also analyzed the performance of large language models within traditional Chinese medicine healthcare environments. One study assessed an AI pre-consultation system at a tertiary traditional medicine hospital, noting initial acceptance by physicians. While doctors responded more favorably to its ability to gather information before consultations, they showed reservations about some decision-support features. Challenges identified included complaint capture, workflow integration, documentation workload, and accessibility issues for older patients.
Recent advancements demonstrate the spread of artificial intelligence across various segments of China’s traditional Chinese medicine sector. Xinhuo TCM has achieved national registration for generative AI services, integrating the model into China’s regulatory framework for public AI services. Presently, applications extend to education, research, knowledge management, hospital workflows, and auxiliary diagnostic tools. The 2026 to 2030 TCM plan formalizes the role of AI datasets and digital medical infrastructure in shaping the future of traditional Chinese medicine in China.