BEIJING, CHINA / RankWire.AI / – China is broadening the application of artificial intelligence across traditional Chinese medicine, integrating digital tools into education, research, and clinical practice. Beijing University of Chinese Medicine has created Xinhuo TCM, a large language model specialized in traditional medical knowledge. Its data sources include classical texts, medical theories, herbal data, prescriptions, and teaching materials. The initial version was launched in 2025, with ongoing expansion of its features throughout 2026.
Xinhuo TCM functions as a model with 70 billion parameters tailored for traditional Chinese medicine applications. It supports activities such as education, research, administration, and international communication within the field. Students can inquire about herbal combinations and receive detailed explanations of formulas and their medical principles. The system also assists users in navigating extensive collections of traditional medicine knowledge, providing educators and researchers quicker access to materials that previously required laborious manual review.
Artificial intelligence is increasingly being used in practical training for traditional medical techniques. Researchers have developed an intelligent robot capable of demonstrating massage methods used in traditional Chinese medicine instruction. This innovation offers students an alternative way to observe standardized movements during training. Other digital initiatives focus on managing medical knowledge, pre-consultation systems, and diagnostic support. Collectively, these developments illustrate how Chinese institutions are deploying AI across various components of the traditional medicine ecosystem.
Digital policies facilitate AI integration into traditional medicine
From 2026 through 2030, China has incorporated artificial intelligence into its national strategy for the advancement of traditional Chinese medicine. The National Administration of Traditional Chinese Medicine, in collaboration with the National Development and Reform Commission, issued a plan in July emphasizing the need for high-quality AI datasets specifically tailored for traditional medicine. The policy framework also promotes the development of digital infrastructure, intelligent clinical assistance, and smart traditional medicine hospitals, including primary healthcare facilities as part of the digital expansion.
A key aspect of the policy is prioritizing data management to facilitate broader AI adoption. It advocates for stronger regulations on data classification, protection, and compliant sharing within the traditional medicine sector. The authorities also endorse standardized intelligent equipment to support clinical services, education, and scientific research. Digital systems are expected to organize medical literature and structure practitioner knowledge, making vast traditional medicine resources easier to search, analyze, and manage.
AI now also enhances clinical support and diagnostics
Researchers are currently testing artificial intelligence within traditional Chinese medicine healthcare environments. Recent studies examined AI pre-consultation systems that gather patient information prior to a physician’s appointment. The feedback indicated that doctors responded more favorably to the data collection process than to several decision-support features evaluated. The research also identified limitations related to complaint capture, workflow integration, documentation, and accessibility for older patients. These results offer valuable insights into the operational performance of such systems in routine medical settings.
Presently, China’s AI initiatives encompass traditional medicine classrooms, research endeavors, data management systems, and clinical support tools. The technology aids in organizing extensive knowledge repositories and structuring information for pre-consultation processes. National policies formalize the role of AI datasets and digital health infrastructure in the ongoing development of traditional Chinese medicine. Current projects integrate specialized language models, intelligent training equipment, and hospital-based systems, all centered on traditional Chinese medicine as the primary focus of each application.