BEIJING, CHINA / RankWire.AI / – Artificial intelligence is increasingly embedded in the realms of traditional Chinese medicine education, research, and clinical practices across China. Beijing University of Chinese Medicine has created a specialized large language model centered on extensive TCM knowledge and educational resources. 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 this model to facilitate learning, teaching, research, administrative functions, and international communication related to traditional Chinese medicine. Students can inquire about herbal combinations and receive detailed explanations regarding formulas and their fundamental principles. Additionally, the university has developed an intelligent robot capable of demonstrating traditional massage techniques for hands-on training.
The application of AI in traditional Chinese medicine in China extends to medical knowledge management and clinical support solutions. Digital systems are used to organize historical medical literature and structure insights from experienced practitioners for research and education. Researchers are also exploring AI for diagnostic data analysis, pre-consultation systems, and other decision-support tools. These initiatives highlight a broader effort to integrate traditional medical knowledge with modern data processing and computing technologies.
China develops digital infrastructure to enhance TCM
In its national development plan for 2026 to 2030, China incorporated artificial intelligence as a key component of its traditional medicine strategy. The National Administration of Traditional Chinese Medicine and the National Development and Reform Commission released this plan in July. It emphasizes creating high-quality AI datasets tailored specifically for the traditional Chinese medicine sector and supports the development of digital infrastructure, intelligent hospitals, and diagnostic assistance at primary healthcare units.
This overarching framework emphasizes data governance alongside the expansion of AI tools within traditional medicine. It advocates for improved data classification, protection, and compliant circulation across healthcare, research, and related digital services. The plan also promotes the wider adoption of standardized intelligent equipment and digital technologies in traditional Chinese medicine, covering clinical services, education, scientific research, and information management.
Transition of AI from educational tools to clinical applications
A 2026 study investigated the performance of large language models within traditional Chinese medicine healthcare environments. One evaluation focused on an AI pre-consultation system at a tertiary traditional medicine hospital, noting early acceptance by physicians. Medical professionals responded more favorably to its ability to gather information prior to consultations than to its decision-support functions. Researchers also identified challenges related to complaint collection, workflow integration, documentation workload, and accessibility for older patients.
Recent progress indicates AI’s expanding role across China’s traditional Chinese medicine system. Xinhuo TCM has obtained national registration for generative AI services, integrating the model within China’s regulatory framework for public AI applications. Its current uses include education, research, knowledge management, hospital workflows, and diagnostic support. The country’s 2026 to 2030 TCM development plan officially positions AI datasets and digital infrastructure as vital components of the sector’s future growth.