ABSTRACT
Asymptomatic spleen-stomach diseases refer to diseases without related symptoms and signs of abdo-minal pain， bloating， diarrhea an others in patients， but showing lesions or pathological changes discovered by modern medical techniques such as endoscopy， CT， MRI. The four examination techniques of traditional Chinese medicine （TCM） are based on symptoms and signs of patients， which are the advantage of TCM but also have certain limitations. In the context of the increasingly modernized diagnosis and treatment in TCM， it is proposed to expand the application of the four examination techniques from three aspects including microcosmic syndrome differentiation， data sharing， and artificial intelligence in asymptomatic spleen-stomach diseases， in order to achieve the goals of dynamically observing the disease process， collecting disease data in multiple dimensions， and intelligently processing disease data. This will strengthen the modern requirements of early diagnosis and treatment in TCM， and highlight the advantages of TCM in “treating disease before it arises and treating the symptoms beforehand”.