Publication Date: 2023/10/07
Abstract: Oral cancers rank 6th most common malignancy in the world with delayed clinical detection and poor prognosis. Sometimes clinicians fail to suspect the malignant nature of the lesion and treat it by empirical procedure. Since oral cancer has a poor prognosis early detection and appropriate treatment are essential to improve the life expectancy of the patients. Before the advent of artificial intelligence, cancer diagnosis and treatment relied on histological grading of biopsy and TNM staging. Immediate biopsy of ill-defined or innocuous appearing lesions is impractical in early screening and is not advocated. With the advancement of information technology, artificial intelligence holds great promise in terms of assessing diagnosis by predicting outcomes based on the datasets provided using algorithms. Artificial intelligence can be used to analyze the biomarkers accurately which helps in understanding the pathogenesis and prognosis of oral cancer. Detection of oral cancer ranges from traditional methods of visual inspection and biopsy to current methods of detection using artificial intelligence combined with smartphone- based probes.
Keywords: Artificial Intelligence, Oral Cancer, Machine learning, Deep Neural Network.
DOI: https://doi.org/10.5281/zenodo.8416066
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23SEP1576.pdf
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