BEIJING, CHINA / RankWire.AI / – Artificial intelligence is increasingly integrated into traditional Chinese medicine education, research, and clinical applications across China. Beijing University of Chinese Medicine has created a large-scale model centered on comprehensive TCM knowledge and educational content. The Xinhuo TCM system encompasses classical texts, medical theories, herbal data, prescriptions, and teaching materials. Its 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 system built on leading Chinese AI platforms. The developers designed it to facilitate learning, teaching, research, administrative tasks, and international exchanges related to traditional Chinese medicine. Students are able to inquire about herbal combinations and receive explanations on formulas and their fundamental principles. Additionally, the university has developed an intelligent robot that demonstrates traditional massage techniques for practical training purposes.
The application of AI in China’s traditional Chinese medicine sector is also expanding to include medical knowledge management and clinical decision-support tools. Digital platforms can organize historical medical literature and synthesize practitioner insights for educational and research uses. Researchers are exploring AI for diagnostic data analysis, pre-consultation systems, and other decision-making support tools. These initiatives reflect a broader effort to merge traditional medical expertise with modern data processing and computing technologies.
China advances digital infrastructure for TCM development
Within its national strategic framework for traditional medicine from 2026 to 2030, China has incorporated artificial intelligence into its development plans. The National Administration of Traditional Chinese Medicine along with the National Development and Reform Commission released this plan in July. It emphasizes the creation of high-quality AI datasets tailored specifically for the traditional Chinese medicine industry. The initiative also promotes digital infrastructure, intelligent hospitals specializing in traditional medicine, and AI-driven diagnostic support at primary healthcare institutions.
The overarching framework emphasizes data governance alongside expanding AI tools across the traditional medicine ecosystem. It advocates for enhanced data classification, secure circulation, and compliance within healthcare, research, and related digital services. Furthermore, authorities aim to increase the adoption of standardized intelligent equipment and digital technologies in traditional Chinese medicine, covering clinical services, education, scientific research, and information management.
AI applications transition from educational tools to clinical aid
Research published in 2026 has also investigated how large language models perform within traditional Chinese medicine healthcare settings. One study assessed an AI pre-consultation system at a tertiary traditional medicine hospital, noting initial acceptance by physicians. Medical professionals responded more favorably to its ability to gather patient information before consultations rather than to its decision-support features. Limitations identified included issues with capturing complaints, workflow integration, documentation requirements, and accessibility for elderly patients.
Recent advancements demonstrate AI’s expanding role across China’s traditional Chinese medicine landscape. Xinhuo TCM has obtained national registration for generative AI services, integrating this specialized model into China’s regulatory framework for public AI offerings. Presently, applications include education, research, knowledge management, hospital workflows, and auxiliary diagnostic tools. The country’s 2026 to 2030 TCM development plan now formally incorporates AI datasets and digital infrastructure as key components in advancing traditional Chinese medicine.