Issues and Challenges in the AI-Empowered High-Quality Development of Traditional Chinese Medicine
The high-quality development of Traditional Chinese Medicine(TCM)is a significant issue faced by the development of TCM in the new era.Artificial Intelligence(AI),as one of the representatives of new productive forces,is expected to provide strong momentum for the inheritance,innovation,and development of TCM.By focusing on three major directions—intelligent TCM early warning and diagnosis,intelligent TCM treatment and rehabilitation,and intelligent TCM research and teaching—the paper reviews the existing problems and challenges in AI-empowered TCM and proposes solutions.In terms of intelligent TCM early warning and diagno-sis,there are issues with the normalization and standardization of TCM theory itself,insufficient open and high-quality large-scale TCM annotation data resources,and lack of TCM theory and thinking guidance in the design of intelligent methods.In terms of intelli-gent TCM treatment and rehabilitation,there are issues such as the feedback and adjustment mechanism are not yet sound,the depth of multidisciplinary collaborative innovation is insufficient,and technical safety and laws and regulations are not perfect.In terms of intel-ligent TCM research and teaching,there are issues such as insufficient mining and interpretation of TCM implicit knowledge,and insuf-ficient learning and simulation of TCM expert thinking.Based on the above issues,corresponding solutions are proposed to explore ide-as for the research in the interdisciplinary field of"artificial intelligence+TCM"and to provide reference for the high-quality develop-ment of TCM inheritance and innovation.
traditional Chinese medicineartificial intelligencehigh-quality developmentissues and challenges
NETL
NSTL
万方数据
