Artificial Intelligence in Traditional Chinese Medicine: Past, Present and Future
Keywords: Artificial Intelligence；Traditional Chinese Medicine；review
Abstract: Artificial intelligence (AI) technology has experienced rapid development, empowering various fields, including traditional Chinese medicine (TCM). This paper reviews the history, current status, and future prospects of AI applications in TCM. The integration of AI and TCM dates back to the 20th century, with the emergence of expert systems. However, their limitations led to a decline. In recent years, deep learning and natural language processing have enabled significant advancements in intelligent diagnosis, pattern recognition, and data mining of ancient medical texts. AI has been applied to TCM diagnostics, including tongue and facial diagnosis, pulse analysis, and assisted syndrome differentiation. Additionally, AI has facilitated drug development, medical education, and robotics in acupuncture and massage. Despite these achievements, challenges remain, such as the lack of standardized datasets, inadequate sample sizes, and interpretability issues. Concerns about ethics, data privacy, and potential job displacement have also arisen. To further harness the potential of AI in TCM, interdisciplinary collaboration, curriculum reform, and regulatory frameworks are crucial. By addressing these challenges, AI can revolutionize TCM's modernization, inheritance, and intelligent development while benefiting human health.
Submission Number: 11
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