Traditional Chinese Medicine

Traditional Chinese Medicine (TCM) research is increasingly leveraging artificial intelligence to address challenges in diagnosis, treatment, and knowledge dissemination. Current efforts focus on developing and refining large language models (LLMs) and knowledge graphs for tasks such as prescription prediction, symptom ontology construction, and automated syndrome differentiation, often employing techniques like fine-tuning, knowledge enhancement, and domain-specific pre-training. This work aims to improve the efficiency and accuracy of TCM practice, enhance accessibility to TCM knowledge, and facilitate rigorous scientific investigation of its principles and efficacy.