BEIJING, CHINA / RankWire.AI / – As part of its broader push to modernize healthcare, China is increasingly incorporating artificial intelligence into traditional Chinese medicine, connecting digital technologies with education, research, and clinical services. Beijing University of Chinese Medicine has created Xinhuo TCM, a large language model dedicated to traditional medical knowledge. This system leverages classical texts, medical theories, herbal data, prescriptions, and teaching resources. Its initial version was launched in 2025, with ongoing enhancements throughout 2026.
Xinhuo TCM is a 70-billion-parameter model tailored for applications in traditional Chinese medicine. Its capabilities support education, research, administrative tasks, and global communication within the field. Students can inquire about herbal combinations and receive detailed explanations of formulas and underlying medical principles. The platform also assists users in exploring extensive collections of traditional medicine information, providing educators and researchers quicker access to necessary materials that previously required labor-intensive manual review.
AI is also making headway in practical training for traditional medical techniques. Researchers have developed an intelligent robot that demonstrates massage techniques used in traditional Chinese medicine instruction. This innovation offers students an alternative method to observe standardized movements during training. Additional digital initiatives focus on managing medical knowledge, pre-consultation systems, and diagnostic support tools. Collectively, these efforts illustrate how Chinese institutions are deploying AI across various segments of the traditional medicine system.
Digital strategies promote AI integration into traditional medicine
From 2026 through 2030, China has officially incorporated artificial intelligence into its national blueprint for the development of traditional Chinese medicine. The National Administration of Traditional Chinese Medicine issued this plan in collaboration with the National Development and Reform Commission in July. It emphasizes the creation of high-quality AI datasets specifically designed for traditional medicine. The framework also aims to enhance digital infrastructure, support intelligent clinical assistance, and establish smart traditional medicine hospitals. Primary healthcare centers are included in this digital expansion initiative.
A key aspect of the policy is prioritizing data management to facilitate broader AI adoption. It advocates for stricter regulations around data classification, protection, and compliant circulation within the traditional medicine sector. The government also endorses standardized intelligent equipment for clinical services, education, and scientific research. Digital systems are expected to organize and structure extensive medical literature and practitioner knowledge, making traditional medicine resources more accessible, searchable, and manageable.
AI is increasingly supporting clinical applications
Researchers are 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 before a doctor’s appointment. Feedback from physicians indicated a more favorable response to information collection compared to several decision-support functions evaluated. The research also highlighted limitations related to complaint recording, workflow integration, documentation, and access issues for elderly patients. These insights offer valuable evidence on how such systems perform in everyday medical settings.
Currently, China’s AI initiatives encompass traditional medicine classrooms, research projects, data management systems, and clinical support tools. The technology aids in organizing vast knowledge bases and structuring information ahead of consultations. The national policy framework assigns a formal role to AI datasets and digital health infrastructure in the development of traditional medicine. Existing programs integrate specialized language models, intelligent training devices, and hospital-centric systems, all maintaining a focus on traditional Chinese medicine as the core subject of each application.