BEIJING, CHINA / RankWire.AI / – Artificial intelligence is increasingly embedded in traditional Chinese medicine (TCM) education, research, and clinical applications across China. Beijing University of Chinese Medicine has created a specialized large model centered on comprehensive TCM knowledge and learning resources. The Xinhuo TCM system incorporates classical texts, medical theories, herbal data, prescriptions, and teaching materials. Its developers introduced the initial version in 2025 and expanded the platform throughout 2026.
According to the university, Xinhuo TCM now functions as a 70-billion-parameter system built on leading Chinese AI platforms. The model was engineered to facilitate learning, teaching, research, administrative tasks, and international exchanges related to traditional Chinese medicine. Students can inquire about herbal combinations and receive detailed explanations regarding formulas and their foundational principles. Additionally, the university has developed an intelligent robot that demonstrates traditional massage techniques for hands-on instruction.
The application of AI in China’s traditional Chinese medicine sector is also evident in medical knowledge management and clinical support solutions. Digital platforms can compile historical medical literature and organize practitioner insights for educational and research purposes. Researchers are exploring artificial intelligence for diagnostic data analysis, pre-consultation systems, and decision-making support tools. These initiatives highlight a broader effort to merge traditional medical knowledge with modern data and computing technologies.
China strengthens digital infrastructure to support TCM development
Within its national strategy for traditional medicine from 2026 to 2030, China has integrated artificial intelligence into its development framework. The National Administration of Traditional Chinese Medicine and the National Development and Reform Commission announced this plan in July. It emphasizes the creation of high-quality AI datasets tailored specifically for the TCM sector. The plan also promotes digital infrastructure, smart hospitals dedicated to traditional medicine, and intelligent diagnostic support at primary healthcare facilities.
The national strategy emphasizes data governance alongside the deployment of AI tools across the traditional medicine system. It advocates for improved data classification, protection, and compliant sharing across healthcare, research, and related digital services. Authorities aim to expand the use of standardized intelligent equipment and digital technologies in clinical practice, education, scientific research, and information management for traditional Chinese medicine.
From education to clinical practice, AI tools expand in TCM
Recent research published in 2026 has examined 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 favorably to its ability to gather information prior to consultations, some decision-support functions received less enthusiasm. Challenges remain regarding complaint intake, workflow integration, documentation workload, and accessibility for elderly patients.
These latest developments demonstrate the growing influence of artificial intelligence across China’s TCM system. Xinhuo TCM has obtained national registration for generative AI services, integrating this specialized model into China’s regulatory framework for public AI applications. Current uses span education, research, knowledge organization, hospital workflows, and auxiliary diagnostic technologies. The country’s 2026 to 2030 TCM plan officially incorporates AI datasets and digital medical infrastructure into the sector’s ongoing development.