Digital and Smart Chinese Medicine focuses on the deep integration of digital and intelligent technologies with Traditional Chinese Medicine (TCM). It emphasizes the convergence of modern technologies and TCM, as well as the translational application of broader digital medicine innovations to the field of TCM.

The journal publishes original research articles, reviews, and case studies with both academic significance and practical potential. It aims to establish a leading international, interdisciplinary platform characterized by the integration of academic innovation, clinical translation, and industrial empowerment, serving researchers, clinicians, and industry professionals worldwide in the field of digital and intelligent TCM.

The journal covers, but is not limited to, the following areas:

Core theories and methodologies of digital and intelligent TCM (e.g., large language models for TCM, knowledge graph construction, complex system theory, adaptive control, system identification, stochastic signal filtering, computational modeling, game control systems, topological network analysis for TCM syndromes)

Digital and intelligent diagnostic and therapeutic technologies and devices (e.g., intelligent four-diagnostic instruments, AI-assisted diagnosis and treatment systems, biomedical signal processing, human-machine interactive medical equipment, intelligent imaging analysis for TCM)

Digital and intelligent research in Chinese materia medica (e.g., smart cultivation, intelligent manufacturing, quality traceability, efficacy prediction, computational pharmacology, novel biomaterial delivery systems)

Digital approaches to chronic disease prevention and management (e.g., applications of digital technologies in TCM interventions for cardiovascular diseases, diabetes and other chronic conditions, population health informatics, standardized electronic TCM medical records, clinical decision support systems and other chronic conditions)

Big data and evidence-based research in TCM (e.g., data platform development, clinical data mining, real-world research, and evidence evaluation methodologies)

Integration of modern technologies with TCM (e.g., molecular biology validation, biosensing technologies, and other non-digital modern approaches)

Frontiers of digital medicine and extended applications in TCM (e.g., adaptation of general medical AI and multicenter data platforms for TCM use)

Industrial translation and policy analysis (e.g., industry case studies, technology transfer, and policy interpretation in digital and intelligent TCM)

Education & teaching in digital and intelligent TCM (e.g., digital teaching resources, AI-assisted education, curriculum innovation, training systems, and competency development for smart TCM)

Editorial Board