BEIJING, CHINA / RankWire.AI / – Artificial intelligence continues to deepen its integration into traditional Chinese medicine (TCM) education, research, and clinical practices across China. Beijing University of Chinese Medicine has created a dedicated large model centered on comprehensive TCM knowledge and educational content. The Xinhuo TCM system incorporates classical texts, medical theories, herbal data, prescriptions, and teaching materials. The initial version was launched in 2025, with further enhancements made throughout 2026.
According to the university, Xinhuo TCM now functions as a 70-billion-parameter AI system built on leading Chinese artificial intelligence platforms. Its design supports learning, teaching, research, administration, and international communication related to TCM. Students can inquire about herbal formulas and receive detailed explanations of their principles. Additionally, an intelligent robot has been developed to demonstrate traditional massage techniques for hands-on training.
AI’s role in TCM is expanding beyond education to include medical knowledge management and clinical decision support. Digital platforms organize historical medical literature and compile insights from experienced practitioners for educational and research purposes. Researchers are exploring AI applications in diagnostics, pre-consultation systems, and decision-making tools. These efforts aim to merge traditional medical expertise with modern data-driven technologies.
China advances digital infrastructure for TCM development
Artificial intelligence has been incorporated into China’s national strategy for traditional medicine growth from 2026 to 2030. The National Administration of Traditional Chinese Medicine and the National Development and Reform Commission issued this plan in July. It emphasizes creating high-quality AI datasets tailored for TCM and promotes digital infrastructure, smart hospitals, and AI-assisted diagnostics at primary healthcare levels.
The framework emphasizes data governance alongside the expansion of AI tools within the TCM sector. It advocates for improved data classification, protection, and secure sharing across healthcare and research. The plan also encourages wider deployment of standardized intelligent devices and digital solutions across clinical, educational, and research domains, as well as in managing traditional medicine information.
AI technologies transition from classroom tools to clinical applications
Research published in 2026 highlights how large language models are being tested within TCM healthcare settings. One study evaluated an AI pre-consultation system at a tertiary traditional medicine hospital, noting initial acceptance by physicians. While doctors appreciated its ability to gather information prior to consultations, they showed less enthusiasm for certain decision-support functions. Challenges identified included complaint collection, workflow integration, documentation burden, and accessibility issues for elderly patients.
Recent developments demonstrate AI’s expanding footprint across China’s TCM infrastructure. Xinhuo TCM has obtained national registration for generative AI services, establishing its compliance within China’s regulatory framework for public AI offerings. Current uses encompass education, research, knowledge management, hospital workflows, and diagnostic support. The Chinese government’s 2026 to 2030 TCM plan formally incorporates AI datasets and digital infrastructure as key components of the sector’s ongoing evolution.