Hierarchy Analysis Of Artificial Intelligence In Oral Cancer

Abstract

AIM

The study aims to appraise the role of artificial intelligence in the diagnosis and management of oral cancer by assessing several articles from various electronic databases.

METHODOLOGY

The study has assimilated data on articles published around the globe from different databases like Google Scholar, Cochrane, Web of Science, Grey Literature and PubMed on the aspect of Artificial Intelligence in oral cancer. The articles matching the keywords and with an abstract was taken into consideration. Keywords such as oral cancer, artificial intelligence, machine learning, oral squamous cell carcinoma, premalignant lesions were used. Tabulations were made based on the criteria such as the number of authors, ranking based on citations, outcomes of the research.

RESULT

The citations of the articles range from 46-0.  Most of these articles were based on the field of treatment and were conducted mostly between the years 2010-2020 with a maximum number of articles being joint authorship articles.      

CONCLUSION

The establishment of a better life for an oral cancer patients is well within reach if we are ready to device a resourceful approach in implementing A. I and its subsets in the field of oral cancer. A. I can contribute immensely to the diagnostic and prognostic results of oral cancer patients. The development in the adaptation of Artificial Intelligence in oral cancer is of utmost value as it can improve the living standards.