ARTIFICIAL INTELLIGENCE AND EARLY DETECTION OF ORAL CANCER

Among head and neck cancers, oral cancer (OC) is one of the most common forms. OC is diagnosed at an advanced locoregional stage, it has increased individuals of deaths, making it the sixth common cancer recorded globally. Although the greater part of OC was discovered in the final stage, about 45% probability of living two more years, early detection and prompt treatment provide the best results for patients. Poor OC outcomes are mostly caused by insufficient or nonexistent detection and monitoring in the regional primary centre, which holds up the patient transfer to specialists, for the further management. Artificial intelligence (AI) was developed quickly in the area of cancer, with noteworthy advancements recently documented. Through this review, the current work seeks to expand the body of evidence supporting the early adoption of AI in OC screening. AI may play a key role in properly predicting the onset of OC, but certain technical issues must be addressed simultaneously with the growth of AI approaches to allow for their general transfer to individuals predicated detection protocols.