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Artificial intelligence in Traditional Chinese Medicine herbs: a survey

Year: 2026
Type: article
Abstract: Traditional Chinese Medicine (TCM) herbs are central to both prevention and treatment, yet their complex mechanisms remain only partly understood. This review examines how artificial intelligence (AI) has been applied to advance TCM herbal research, tracing its evolution from expert systems to machine learning, deep learning, and large language models. By analyzing both the traditional approach, rooted in classical TCM principles, and the modern approach, informed by biomedical science, we identify how AI enables knowledge extraction, prescription recommendation, compound discovery, and mechanism exploration. The review highlights the unique contribution of AI in bridging empirical heritage with scientific rigor, while also outlining key challenges such as data standardization and ethical considerations. Our findings demonstrate that the integration of AI with TCM herbs not only preserves traditional knowledge but also accelerates innovation in personalized and integrative medicine.
Language: English
Field: Medicine
Open Access status: hybrid
Estimated APC paid: $3,190
OpenAlex ID: W7130818956
FWCI: 29.83
Cites: 141
Cited by: 3
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