BEIJING, CHINA / RankWire.AI / – Artificial intelligence is increasingly embedded in China’s traditional Chinese medicine sector, supporting education, research, and clinical applications. Beijing University of Chinese Medicine has created a large-scale specialized model centered on extensive TCM knowledge and educational resources. The Xinhuo TCM system incorporates classical texts, medical theories, herbal data, prescriptions, and teaching materials. Its developers introduced the initial version in 2025, followed by an expansion in 2026.
According to the university, Xinhuo TCM now functions as a 70-billion-parameter model built upon major Chinese AI platforms. It is designed to aid learning, teaching, research, administration, and international communication related to traditional Chinese medicine. Students can inquire about herbal combinations and receive detailed explanations about formulas and their fundamental principles. Additionally, the university has developed an intelligent robot capable of demonstrating traditional massage techniques for hands-on training.
China’s broader adoption of AI in traditional Chinese medicine also includes tools for managing medical knowledge and supporting clinical decision-making. Digital systems help organize historical medical literature and compile insights from experienced practitioners for educational and research purposes. Researchers are exploring AI applications in diagnostic data collection, pre-consultation systems, and other decision-support tools. These initiatives exemplify efforts to merge traditional medical knowledge with modern data processing and computing technologies.
China enhances digital infrastructure for TCM development
Artificial intelligence has been integrated into China’s national traditional medicine development strategy for 2026 to 2030. The National Administration of Traditional Chinese Medicine and the National Development and Reform Commission released the plan in July. It emphasizes the creation of high-quality AI datasets tailored specifically for the traditional Chinese medicine sector. The plan also promotes digital infrastructure, intelligent traditional medicine hospitals, and diagnostic support tools at primary healthcare facilities.
This national framework emphasizes data governance alongside the expansion of AI tools within the traditional medicine system. It advocates for improved data classification, protection, and compliant circulation across healthcare, research, and digital services. The authorities also aim to increase the use of standardized intelligent equipment and digital technologies in traditional Chinese medicine, covering areas such as clinical services, education, scientific research, and information management.
AI tools are transitioning from educational settings to clinical environments
Research published in 2026 has assessed how large language models perform in traditional Chinese medicine healthcare settings. One study focused on an AI pre-consultation system at a tertiary traditional medicine hospital, noting initial acceptance among physicians. Medical professionals responded more favorably to its ability to gather information prior to consultations than to its decision-support functions. The study identified ongoing challenges related to complaint capture, workflow integration, documentation workload, and accessibility for older patients.
Recent developments indicate AI’s expanding role across various parts of China’s traditional Chinese medicine system. Xinhuo TCM has obtained national registration for generative AI services, placing this specialized model within China’s regulatory framework for public AI tools. Present applications include education, research, knowledge organization, hospital workflows, and diagnostic support. The country’s 2026 to 2030 TCM plan officially incorporates AI datasets and digital infrastructure as integral components of the sector’s future growth.