AI Decodes the Ancient Wisdom of Traditional Chinese Medicine
A comprehensive review in the field of artificial intelligence details the transformative role of machine learning and deep learning in the study of Traditional Chinese Medicine (TCM) herbs. The survey traces the evolution from early expert systems to modern large language models, highlighting how these AI techniques enable knowledge extraction from classical texts, personalized prescription recommendation, novel compound discovery, and the exploration of complex biological mechanisms. This integration represents a powerful synergy, where AI’s data-driven capabilities bridge the empirical heritage of TCM with the rigorous demands of modern biomedical science, accelerating innovation in personalized and integrative medicine.
Study Significance: For AI researchers and practitioners, this work demonstrates a compelling, real-world application of foundational models and multimodal learning beyond conventional tech domains. It presents a concrete framework for how supervised learning, unsupervised learning, and generative AI can be deployed to systematize and validate complex, unstructured knowledge systems. The challenges outlined, such as data standardization and model interpretability, directly mirror core research priorities in machine learning, offering a valuable case study for advancing techniques in bias mitigation, explainable AI, and domain adaptation for specialized fields.
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