Application of artificial intelligence and radiomics in the prediction of lymph node metastasis and tumour grading of oral cancer - a systematic review and meta analysis

To mitigate the elevated misinterpretation rate of lymph node metastasis (LNMs), it is prudent to incorporate ML/DL into the imaging identification of LNMs in oral cancer. Radiomic CT characteristics of oral cancer indicate tumour heterogeneity and can forecast histopathologic attributes. These exploratory investigations suggest that the AI and radiomics prediction framework may function as an additional non-invasive diagnostic tool for oral cancer, enhancing the objectivity and accuracy of tumour staging and grading and providing guidance for future therapies.