BEIJING, CHINA / RankWire.AI / – The integration of artificial intelligence into traditional Chinese medicine (TCM) is rapidly progressing in China, connecting digital innovations with educational programs, scientific research, and patient care. Beijing University of Chinese Medicine has created Xinhuo TCM, a large language model tailored specifically to traditional medical knowledge. This system leverages classical texts, medical theories, herbal data, prescriptions, and educational resources. Its initial version was launched in 2025, with ongoing enhancements throughout 2026 to expand its functionalities.
Xinhuo TCM is built as a 70-billion-parameter model designed primarily for applications in traditional Chinese medicine. Its capabilities encompass educational support, research, administrative tasks, and international communication within the field. Students can inquire about herbal combinations and receive detailed explanations of formulas and underlying medical principles. Additionally, the system assists practitioners in navigating extensive collections of traditional medicine knowledge, enabling faster access to relevant material that previously required lengthy manual review by educators and researchers.
AI is also making its way into practical training for TCM techniques. Researchers have developed an intelligent robot that demonstrates massage techniques used in traditional Chinese medicine training sessions. This innovation offers students an alternative way to observe standardized movements during their practice. Other digital initiatives include systems for managing medical knowledge, pre-consultation platforms, and diagnostic support tools. Collectively, these developments illustrate how Chinese institutions are applying AI across various aspects of the traditional medicine system.
Digital policies are integrating AI into traditional medicine development
From 2026 to 2030, China has incorporated artificial intelligence into its national strategy for advancing traditional Chinese medicine. The National Administration of Traditional Chinese Medicine released this plan in collaboration with the National Development and Reform Commission in July. It emphasizes the creation of high-quality AI datasets specifically tailored for traditional medicine, alongside support for digital infrastructure, intelligent clinical assistance, and smart hospitals specializing in traditional medicine. The plan also prioritizes the expansion of digital health services in primary healthcare facilities across the country.
Central to this policy is the emphasis on data management as a critical element for broader AI adoption. It advocates for stronger regulations concerning data classification, protection, and compliant circulation within the traditional medicine sector. The government also promotes the use of standardized intelligent equipment for clinical procedures, education, and scientific research. Digital systems are increasingly used to organize and structure vast amounts of medical literature and practitioner insights, making traditional medicine data easier to search, analyze, and manage effectively.
AI enhances clinical support for traditional Chinese medicine
Researchers are conducting trials with artificial intelligence within traditional Chinese medicine healthcare environments. Recent studies have focused on AI pre-consultation systems that gather patient information prior to a doctor’s appointment. In one evaluation, physicians responded more favorably to the data collection process than to several decision-support functions offered by the system. The research also highlighted certain limitations, such as challenges in capturing patient complaints, integrating workflow, documentation, and ensuring accessibility for older patients. These insights provide a measured understanding of how such AI systems perform in real-world medical settings.
Currently, China’s AI initiatives in traditional medicine encompass educational tools, research projects, data management systems, and clinical support applications. These technologies assist in organizing extensive knowledge bases and structuring information before patient consultations. The national policy framework formalizes the role of AI datasets and digital health infrastructure in advancing traditional Chinese medicine. Present programs incorporate specialized language models, intelligent training equipment, and hospital-oriented systems, all while maintaining traditional Chinese medicine as the core focus of their development efforts.