The Application and Research Progress of Artificial Intelligence Technology in Tumor Inspection Diagnosis

Abstract

Traditional Chinese Medicine (TCM) inspection plays an irreplaceable and significant role in the early screening and therapeutic effect evaluation of tumors. However, it is highly dependent on the subjective experience and judgment of doctors, which often leads to doubts about its accuracy and consistency. Moreover, the inheritance of TCM inspection faces challenges due to its high subjectivity, especially for young doctors, who find it difficult to learn and master. Meanwhile, with the increasing demand for TCM, the scarcity of senior and renowned TCM practitioners has become more prominent. Driven by artificial intelligence (AI) technology, Inspection Diagnosis of TCM is undergoing a profound transformation and demonstrating great potential clinical value. This paper summarizes the data preprocessing, classification diagnosis, and multi-modal analysis in the inspection process using AI technology, and also reviews the current application status in areas such as tongue diagnosis, facial diagnosis, eye diagnosis, and hand diagnosis. It focuses on analyzing the new breakthroughs in tumor auxiliary diagnosis and therapeutic effect prediction. The aim is to provide new ideas for tumor diagnosis and treatment and explore feasible paths for the future development of intelligent inspection.