BEIJING, CHINA / RankWire.AI / – Artificial intelligence is increasingly being incorporated into traditional Chinese medicine (TCM) education, research, and clinical applications across China. Beijing University of Chinese Medicine has created a specialized large language model centered on comprehensive TCM knowledge and educational resources. The Xinhuo TCM system features classical texts, medical theories, herbal information, prescriptions, and teaching materials. Its developers launched the initial version in 2025 and further expanded the platform during 2026.
According to the university, Xinhuo TCM now functions as a system with 70 billion parameters, built on leading Chinese artificial intelligence platforms. The creators designed the model to assist with learning, teaching, research, administrative tasks, and international communication related to traditional Chinese medicine. Students can inquire about herbal combinations and receive detailed explanations of formulas and their principles. Additionally, the university has developed an intelligent robot capable of demonstrating traditional massage techniques for hands-on training.
The application of AI in China’s traditional Chinese medicine sector also extends to medical knowledge management and clinical support tools. Digital systems facilitate the organization of historical medical literature and compile insights from experienced practitioners for educational and research purposes. Researchers are exploring AI applications for diagnostic data, pre-consultation systems, and other decision-support tools. These initiatives reflect a broader effort to blend traditional medical expertise with modern data processing and computing technologies.
China advances digital infrastructure for TCM development
For the period from 2026 to 2030, 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 issued this plan in July. It emphasizes the need for high-quality AI datasets specifically tailored for the traditional Chinese medicine industry. The plan also promotes the development of digital infrastructure, smart traditional medicine hospitals, and intelligent diagnostic tools at primary healthcare centers.
The national framework emphasizes data governance alongside the expansion of AI tools across the traditional medicine system. It calls for improved data classification, protection, and secure sharing across healthcare, research, and related digital services. Authorities also aim to increase the adoption of standardized intelligent equipment and digital technologies in traditional Chinese medicine. These measures target clinical services, education, scientific research, and the management of traditional medicine information.
AI tools transition from educational settings to clinical applications
Research published in 2026 has examined how large language models perform within traditional Chinese medicine healthcare environments. One study evaluated an AI pre-consultation system at a tertiary traditional medicine hospital and found initial acceptance among physicians. Doctors responded more favorably to its ability to gather information prior to consultations than to several decision-support functions. The study also identified remaining challenges related to complaint collection, workflow integration, documentation requirements, and accessibility for older patients.
Recent developments indicate that artificial intelligence is spreading across multiple facets of China’s traditional Chinese medicine sector. Xinhuo TCM has received national registration for its generative AI services, aligning the model with China’s regulatory framework for public AI services. Currently, AI applications support education, research, knowledge organization, hospital workflows, and diagnostic assistance. The 2026 to 2030 TCM plan officially recognizes artificial intelligence datasets and digital medical infrastructure as integral to the sector’s ongoing growth.