Advancements in Artificial Intelligence for Oral Cancer Diagnosis
DOI:
https://doi.org/10.22399/ijcesen.1666Keywords:
Machine Learning, Deep Learning, Oral Cancer Diagnosis, Artificial IntelligenceAbstract
Cancer has been considered an incurable disease since its inception and has had an intimidating effect on mankind. Rapid technological advancement and medical breakthroughs have indeed thwarted its threat. Cancer is curable, provided it gets detected in the nascent stage. A growth or sore in the mouth that doesn't heal is the first sign of oral cancer. Despite the advanced radiation therapy and chemotherapy available, the fatality rate projects a grim picture with enormous scope for improvement. This study aims to broaden the use of artificial intelligence in the early stages of oral cancer detection. For papers that used artificial intelligence to diagnose oral cancer, a search was made between January 2018 and June 2024. Based on diverse image kinds and the use of artificial intelligence, 50 studies were included in diagnosing or detecting oral cancer. These studies were divided into different categories due to the heterogeneity of their data and the wide variety of algorithms used for analysis based on artificial intelligence. The precise prediction and identification of the onset of oral cancer may be greatly aided by artificial intelligence. Albeit, various chronological issues require attention alongside advances in artificial intelligence techniques to safely integrate with everyday clinical procedures and practices. This paper intends to act as a detailed guide for all to develop a system of similar thought processes.
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