摘要
Traditional Chinese Medicine(TCM)has a long history and a comprehensive theoreticalsystem.However,its diagnostic process heavily relies on subjective experience,posing chal-lenges to modernization and standardization.This study explores the integration of artifi-cial intelligence(AI)into TCM,aiming to construct an intelligent diagnosis and treatmentplatform.By leveraging AI technologies such as deep learning,natural language processing(NLP),and knowledge graphs,the platform enhances the accuracy of syndrome recogni-tion,intelligent consultation,and personalized treatment recommendations.The researchalso focuses on structuring TCM knowledge,developing AI-based imaging analysis,andoptimizing intelligent text analysis.The results indicate that AI-driven TCM diagnosis canimprove diagnostic accuracy,reduce subjectivity,and facilitate modernization,contribut-ing to smart healthcare development.
基金
2024 Ministry of Education Industry-University Cooperative Education Program:Smart Diagnosis Platform for Traditional Chinese Medicine Based on Artificial Intelligence and Big Data Technologies,a collaboration between Shandong Foreign Affairs Vocational Universityand Kaiyuan Education Technology(Shenzhen)Co.,Ltd,Third Prize Winner in the 2024 TCMIID®Competition on the Preservation and Innovative Development of Traditional Chi-nese Medicine.Article History。
