The State of AI in early Clinical Detection of Oral Potentially Malignant Disorders

The incidence of oral cancer continues to rise worldwide while the prognosis remains poor, with an overall 5-year survival rate <50%. Most patients present with late-stage disease because early-stage oral cancers and oral potentially malignant disorders (OPMDs) are often asymptomatic and mimic benign conditions. Therefore, novel methods are needed for an early, accurate diagnosis to aid clinical decision-making. This lecture will focus on emerging artificial intelligence tools used for early cancer detection and how the development of machine learning models might increase the diagnostic accuracy of OPMDs in the Dental setting.