A scoping review of the effects of artificial intelligence on oral cancer treatment outcome and early diagnosis

Abstract

Background: Oral cancer (OC) has been more common across the globe recently. Early identification and diagnosis made possible by the use of modern technologies may help the practitioner manage patients more effectively. The objective of the study is to analyze the role of artificial intelligence (AI) in the detection and management of OC by looking at a number of academic publications from various online databases and to share the applications of AI to all the researchers that help in OC detection. Methods: The terms “oral cancer”, mouth neoplasms and “artificial intelligence” were used in a literature search in the PubMed, Scopus, and Web of Science databases for publications published in English between 2012 and 2022. There is a lot of information in reputable databases on the subject of AI and OC. The articles with full texts that matched the keywords were taken into consideration. Results: The majorities of these articles were based on the diagnosis and treatment field related to OCs. The initial search yielded a total of 548 articles. Reports assessed for eligibility were 25. Upon the restriction to OC, articles related to AI in OC and research restricted to diagnosis and treatment plan, only ten articles were eligible. Conclusions: In the subject of OC, as well as its subcategories AI can make a significant difference in the early diagnosis, disease prediction, prognosis and treatment planning of OC patients. Since it can raise living standards, AI research is essential for the treatment of OC.

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