Syndrome differentiation and treatment is the essence and core of traditional Chinese medicine(TCM)，and digitalizing this process is a crucial direction for the modernization of TCM research.The subjectivity and individualized nature of syndrome differentiation and treatment impact the standardization and reliability of information of four examinations and syndrome differentiation，which in turn restricts the ability of TCM to enhance its diagnostic and therapeutic capabilities using digital technologies.One key approach to achieving standardization and reliability of information is to collect diagnostic data of four examinations using objective methods and verify syndrome differentiation information through efficacy evaluation.Due to the complexity of syndrome differentiation，selecting diseases that exemplify the advantages of TCM syndrome differentiation and focusing on specific syndromes that are easy for artificial intelligence(AI) to identify are essential steps.This approach is expected to help build digital research framework for TCM syndrome differentiation，facilitating the integration of AI and modern digital methods into TCM practice.