BEIJING, CHINA / RankWire.AI / – Artificial intelligence is increasingly embedded in traditional Chinese medicine education, research, and clinical applications across China. Beijing University of Chinese Medicine has created a specialized large model centered on comprehensive TCM knowledge and educational resources. The Xinhuo TCM system features classical texts, medical theories, herbal data, prescriptions, and teaching materials. Its developers released the initial version in 2025, followed by platform enhancements in 2026.
According to the university, Xinhuo TCM now functions as a 70-billion-parameter system built on prominent Chinese AI platforms. It was designed to facilitate learning, teaching, research, administration, and international exchanges related to traditional Chinese medicine. Students can inquire about herbal combinations and receive detailed explanations of 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 expanding AI application in traditional Chinese medicine also encompasses medical knowledge management and clinical decision-support tools. Digital systems are used to organize historical medical literature and compile insights from experienced practitioners for educational and research purposes. Researchers are exploring artificial intelligence for diagnostic data, pre-consultation systems, and other decision-support functions. These initiatives highlight a broader effort to integrate traditional medical knowledge with modern data and computational technologies.
China boosts digital infrastructure for TCM
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 the plan in July, emphasizing the need for high-quality AI datasets tailored for the TCM sector. The plan also promotes digital infrastructure, smart hospitals specializing in traditional medicine, and intelligent diagnostic support at primary healthcare facilities.
This national framework emphasizes data governance alongside the widespread adoption of AI tools within the traditional medicine system. It advocates for enhanced data classification, protection, and compliant sharing across healthcare, research, and related digital services. The policy also encourages the broader deployment of standardized intelligent devices and digital technologies in clinical practice, education, and the management of traditional medicine information.
AI transitions from education to clinical practice
Research published in 2026 has assessed the performance of large language models 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 capacity for gathering information before consultations than to various decision-support features. Limitations identified included issues with complaint recording, workflow integration, documentation requirements, and accessibility for elderly patients.
Recent developments demonstrate AI’s expanding role across multiple segments of China’s traditional Chinese medicine system. Xinhuo TCM has achieved national registration for generative AI services, integrating the model into China’s regulatory framework for public AI applications. Present uses include education, research, knowledge management, hospital workflows, and auxiliary diagnostic tools. China’s 2026 to 2030 TCM plan has officially incorporated AI datasets and digital medical infrastructure into the sector’s strategic growth.