TCM Auxiliary Diagnosis of LBP based on Convolutional Neural Network

AI technology combines natural language processing, deep learning and blockchain technologies to provide a new path for TCM diagnosis standardization, efficacy evaluation and quality control of TCM, and promote the modernization and intelligence of TCM. However, promotion faces challenges such as insufficient data standardization, complex theoretical adaptation, lack of clinical validation and shortage of interdisciplinary talents. In the future, AI will further promote the standardization of TCM diagnosis, build a multi-modal efficacy evaluation system, and use the Internet of Things technology to realize the quality traceability of the whole process of Chinese herbal medicine. Through multi-disciplinary coordination, policy support and industrial cooperation, AI will also combine knowledge mapping and intelligent algorithm to facilitate the digital inheritance and innovation of TCM theory, and inject new vitality into the inheritance and international promotion of TCM.