BEIJING, CHINA / RankWire.AI / – China is broadening the deployment of artificial intelligence within its traditional Chinese medicine sector. Digital tools are now being linked with education, research, and clinical practice. Beijing University of Chinese Medicine has created Xinhuo TCM, a large language model focused specifically on traditional medical knowledge. This system incorporates classical texts, medical theories, herbal data, prescriptions, and teaching materials. Its initial version was launched in 2025, with ongoing enhancements throughout 2026.
Xinhuo TCM functions as a model with 70 billion parameters, tailored for applications in traditional Chinese medicine. Its capabilities support education, research, administrative tasks, and international communication related to the field. Students can inquire about herbal combinations and obtain explanations of formulas along with their underlying medical principles. The platform also assists users in navigating extensive collections of traditional medicine knowledge, streamlining access that previously required considerable manual effort. These tools enable educators and researchers to retrieve information more rapidly and efficiently.
AI is also making its way into hands-on training for traditional medical techniques. Researchers have developed an intelligent robot that demonstrates massage methods used in traditional Chinese medicine education. This innovation offers students an additional way to observe standardized movements during their training sessions. Other digital initiatives include medical knowledge management systems, pre-consultation platforms, and diagnostic support tools. Collectively, these applications highlight how Chinese institutions are leveraging AI across various segments of the traditional medicine system.
Digital strategies promote AI integration into traditional Chinese medicine
Starting in 2026 and extending through 2030, China has embedded artificial intelligence into its national development plan for traditional Chinese medicine. The National Administration of Traditional Chinese Medicine issued this plan in collaboration with the National Development and Reform Commission in July. The initiative emphasizes the creation of high-quality AI datasets tailored for traditional medicine. It also aims to bolster digital infrastructure, support intelligent clinical assistance, and develop smart hospitals specializing in traditional medicine. Primary healthcare facilities are part of this digital expansion effort.
A key aspect of the policy is the emphasis on data management in promoting AI adoption. It advocates for stricter regulations on data classification, protection, and compliant circulation within the traditional medicine sector. The authorities also promote standardized intelligent equipment for clinical practice, education, and scientific research. Digital systems are expected to organize medical literature and structure practitioner-generated data. Such work will make large bodies of traditional medicine material easier to search, analyze, and oversee.
Focus on AI-supported clinical services and diagnostics
Researchers are also exploring the use of artificial intelligence within traditional Chinese medicine healthcare environments. Recent studies have focused on AI pre-consultation systems that gather patient information prior to medical appointments. Physicians responded more favorably to data collection processes than to several decision-support functions evaluated in one study. However, the research also identified limitations related to complaint documentation, workflow integration, and access for elderly patients. These findings offer valuable insights into how such systems perform in routine clinical settings.
China’s current AI initiatives encompass traditional medicine classrooms, research endeavors, data management systems, and clinical support tools. This technology helps organize extensive knowledge repositories and structures information before patient consultations. National policies formally incorporate AI datasets and digital health infrastructure into the evolution of traditional medicine. Present programs combine specialized language models, intelligent training devices, and hospital-oriented systems, all while maintaining traditional Chinese medicine as the core focus of each application.