Deniz Publication
Clinical Cancer Investigation Journal
ISSN Print: 2278-1668, Online: 2278-0513


Publisher: Deniz Publication
ARTICLE
Year: 2022   |   Volume: 11   |   Issue: 1   |   Page: 5-9     View issue

Artificial Intelligence and Its Application in the Early Detection of Oral Cancers  


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Abstract

Dentistry has transformed, and digitization in Dentistry is now possible through Artificial Intelligence.  Artificial Intelligence is an emerging field of technology, which simulate human intelligence in machines that are programmed to think like humans and mimic our actions. Although in the recent past several articles have highlighted the applications of Artificial Intelligence in screening and detecting oral cancers, less is known about how the technology helps in that aspect.  In high-risk countries like India, Pakistan, Sri Lanka, Bangladesh, etc. oral cancer is the most common cancer in men, with up to 25% of all new cases. Early diagnosis of oral cancer is necessary since most patients report late and are diagnosed at a late stage of the disease, leading to a poor prognosis. Artificial intelligence can help in the early detection of oral cancer, thus helping in early diagnosis and possible help in the prediction of the prognosis of the disease. This article focuses on the lesser-known side of Artificial Intelligence, its role in the early detection of oral cancers, and how it actually can be put to use for the benefit of the dental profession and society at large. The concept of Artificial Intelligence is explained in this operative technique article with the help of the technology provider through unique diagrams for ease of understanding.

Cite this article
Vancouver
Nath SG, Raveendran R, Perumbure S. Artificial Intelligence and Its Application in the Early Detection of Oral Cancers  . Clin Cancer Investig J. 2022;11(1):5-9. https://doi.org/10.51847/h7wa0UHoIF
APA
Nath, S. G., Raveendran, R., & Perumbure, S. (2022). Artificial Intelligence and Its Application in the Early Detection of Oral Cancers  . Clinical Cancer Investigation Journal, 11(1), 5-9. https://doi.org/10.51847/h7wa0UHoIF

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ISSN Print: 2278-1668, Online: 2278-0513