Squamous cell carcinoma of the oral cavity is the sixth most common malignancy in the world. The early diagnosis of cancer leads to better patient management. Oral cancer diagnosed in advanced stages results in morbidity and mortality. Cancers detected late are associated with increased side effects, cost of treatment and low survival rate. The use of techn ology may be beneficial for early detection. The field of AI has grown spectacularly over the past decade. The introduction of artificial intelligence (AI) in oral cancer screening has enormous benefits. AI can precisely analyze a vast dataset from various imaging modalities and assist in the field of oncology. In the present review, the literature search was carried out in "PubMed" and "Scopus" databases for articles published between 2012 to 2022 with search terminology "oral cancer" and "artificial intel ligence". A manual search was done to collect additional information from reference lists of selected articles. The present paper will discuss the applications and advantages of AI in oral cancer screening, early diagnosis, disease prediction, treatment pl anning, and prognosis. The paper also focuses on AI's limitations and future scope in oral cancer research.