Tongue diagnosis is a commonly used method to diagnose diseases in Chinese medicine. By observing the color, shape and state of the tongue, as well as the color and texture changes of the sublingual veins and tongue coating, we can understand the physiological function and pathological changes of the body. Through the observation of tongue image and tongue coating, it can predict the disease progression, judge the prognosis, and guide the clinical evaluation of treatment effect.

AI-based image processing technology provides a modern scientific means for the rapid judgment of tongue image, effectively improves the accuracy and efficiency of tongue image judgment, and promotes the modernization of tongue image research in traditional Chinese medicine.

Studying the causes of tongue image formation from the perspective of multi-omics can better discover and understand the law of changes between tongue image and tongue coating microecology and metabolites, which provides a new research idea for exploring the formation mechanism of tumor tongue image.

Disease classification, efficacy and side effects were monitored according to the characteristics of patients’ tongue images, and high-risk groups were accurately located, which not only provided a new method for disease risk prediction, but also provided a basis for personalized medication regimen guidance.