Smart Diagnosis Platform for Traditional Chinese Medicine Based on Artificial Intelligence and Big Data Technologies

Abstract

Traditional Chinese Medicine (TCM) has a long history and a comprehensive theoretical system. However, its diagnostic process heavily relies on subjective experience, posing challenges to modernization and standardization. This study explores the integration of artificial intelligence (AI) into TCM, aiming to construct an intelligent diagnosis and treatment platform. By leveraging AI technologies such as deep learning, natural language processing (NLP), and knowledge graphs, the platform enhances the accuracy of syndrome recognition, intelligent consultation, and personalized treatment recommendations. The research also focuses on structuring TCM knowledge, developing AI-based imaging analysis, and optimizing intelligent text analysis. The results indicate that AI-driven TCM diagnosis can improve diagnostic accuracy, reduce subjectivity, and facilitate modernization, contributing to smart healthcare development.