BEIJING, CHINA / RankWire.AI / – Across China, artificial intelligence is increasingly being incorporated into the education, research, and clinical practices of traditional Chinese medicine. Beijing University of Chinese Medicine has created a specialized large model centered on extensive TCM knowledge and educational resources. The Xinhuo TCM system features classical texts, medical theories, herbal data, prescriptions, and teaching materials. The initial version was launched in 2025, with further expansion of the platform taking place in 2026.
According to the university, Xinhuo TCM now functions as a 70-billion-parameter system built on leading Chinese AI platforms. Its design aims to support learning, instruction, research, administration, and international communication related to traditional Chinese medicine. Students can inquire about herbal combinations and receive explanations about formulas and their fundamental principles. Additionally, the university has developed an intelligent robot that demonstrates traditional massage techniques for practical training.
The application of AI in China’s traditional Chinese medicine sector extends to medical knowledge management and clinical support tools. Digital systems facilitate the organization of historical medical literature and structure practitioner insights for educational and research purposes. Researchers are also exploring AI applications for diagnostic data, pre-consultation systems, and other decision support tools. These initiatives highlight a broader effort to merge traditional medical wisdom with modern data and computing technologies.
China enhances digital infrastructure to support TCM development
Artificial intelligence has been incorporated into China’s national strategy for traditional medicine development from 2026 to 2030. The National Administration of Traditional Chinese Medicine along with the National Development and Reform Commission issued this plan in July. It emphasizes creating high-quality AI datasets tailored specifically for the traditional Chinese medicine industry. The plan also advocates for improved digital infrastructure, smart traditional medicine hospitals, and intelligent diagnostic support at primary healthcare centers.
This national framework underscores the importance of data governance alongside the expansion of AI tools across the traditional medicine system. It calls for enhanced data classification, protection, and compliant circulation within healthcare, research, and related digital services. Authorities are also encouraging the broader adoption of standardized intelligent equipment and digital technologies in traditional Chinese medicine, covering clinical services, education, scientific research, and information management.
From educational tools to clinical applications: AI’s evolving role
Research published in 2026 has also analyzed the performance of large language models within traditional Chinese medicine healthcare settings. One study assessed an AI pre-consultation system at a tertiary traditional medicine hospital and found initial acceptance among physicians. Medical staff responded more favorably to its ability to gather information before consultations than to some decision-support features. Remaining challenges include issues with complaint collection, workflow integration, documentation workload, and accessibility for elderly patients.
Recent developments demonstrate AI’s growing presence across various aspects of China’s traditional Chinese medicine landscape. Xinhuo TCM has achieved national registration for generative AI services, positioning the specialized model within China’s regulatory framework for public AI offerings. Its current applications encompass education, research, knowledge management, hospital workflows, and auxiliary diagnostic tools. The government’s 2026 to 2030 TCM plan officially incorporates AI datasets and digital medical infrastructure into the sector’s ongoing development.