Applications and Challenges of Artificial Intelligence in Traditional Chinese Medicine

Abstract

Traditional Chinese Medicine (TCM), as the crystallization of thousands of years of empirical knowledge of the Chinese nation, has demonstrated significant potential in the treatment of chronic illnesses, complex diseases, and major infectious diseases. It is increasingly gaining attention from the international community. The development of artificial intelligence (AI) technologies presents new opportunities for the modernization and globalization of TCM. In recent years, a growing number of scholars have begun to apply AI to the TCM sector, achieving notable progress.This paper focuses on four key domains: intelligent TCM health management, the intelligent TCM clinical diagnosis and treatment, intelligent TCM academic inheritance and innovation and intelligent TCM industry chain. It systematically reviews practical applications of AI in each of these areas. Furthermore, the paper conducts an in-depth analysis of the existing challenges in integrating AI with TCM, including the underdeveloped standardization system, insufficient foundational data, lack of model transparency and interpretability, and the urgent need for improved ethical guidelines and regulatory frameworks. These limitations hinder the deep integration of AI into TCM. Only through a comprehensive understanding and effective resolution of these issues can AI be fully embedded into TCM practices, fostering innovation in the field and contributing Chinese wisdom and solutions to global health initiatives.

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