BEIJING, CHINA / RankWire.AI / – Artificial intelligence is increasingly integrated into China’s traditional Chinese medicine sector, connecting digital innovations with education, research, and clinical practice. Beijing University of Chinese Medicine has created Xinhuo TCM, a large language model dedicated to traditional medical knowledge. It leverages classical texts, medical theories, herbal data, prescriptions, and teaching resources. The initial release occurred in 2025, with ongoing expansion throughout 2026.
Xinhuo TCM is a model with 70 billion parameters designed specifically for traditional Chinese medicine. Its capabilities include supporting education, research, administration, and global communication. Students can inquire about herbal combinations and get detailed explanations of formulas and underlying medical principles. The system also streamlines access to vast collections of traditional medicine knowledge, reducing the need for manual review for educators and researchers.
AI is also being applied to practical training in traditional medical techniques. An intelligent robot has been developed to demonstrate massage methods used in traditional Chinese medicine education. This offers students an additional way to observe standardized movements during training sessions. Other projects focus on managing medical knowledge, pre-consultation systems, and diagnostic support tools. These initiatives illustrate how Chinese institutions are utilizing AI across various aspects of traditional medicine.
Digital Strategies Promote AI Integration in Traditional Medicine
From 2026 to 2030, China has incorporated artificial intelligence into its national development plans for traditional Chinese medicine. The National Administration of Traditional Chinese Medicine released the strategy in collaboration with the National Development and Reform Commission in July. It emphasizes creating high-quality AI datasets tailored for traditional medicine. The plan also advocates for digital infrastructure, smart clinical assistance, and AI-enabled traditional medicine hospitals. Basic healthcare facilities are included in the digital expansion efforts.
Data management is a key focus of this policy. It aims to establish stronger rules for data classification, protection, and compliant sharing within the traditional medicine sector. Authorities support the adoption of standardized intelligent equipment for clinical, educational, and research purposes. Digital systems will organize medical literature and structure practitioner knowledge, making traditional medicine information easier to search, analyze, and manage.
AI Enhances Clinical Support and Diagnostic Processes
Researchers are testing AI in traditional Chinese medicine healthcare environments. Recent studies focus on pre-consultation AI systems that gather patient information before doctor visits. Physicians responded more positively to data collection than to decision-support features in one evaluation. The study identified limitations such as complaint capture, workflow integration, documentation, and access for elderly patients. These results offer insights into how AI tools perform in routine clinical settings.
China’s current AI initiatives span traditional medicine education, research, data management, and clinical support. The technology helps organize extensive knowledge bases and facilitates structured information gathering before patient consultations. National policies formalize AI datasets and digital health infrastructure as essential components of traditional medicine development. Existing programs include specialized language models, intelligent training devices, and hospital systems, all centered on traditional Chinese medicine.