Özet:

Early diagnosis of oral cancer is the most effective tool in reducing the disease's morbidity and mortality rates, survival rates and improving the quality of life of individuals. It is known that the comprehensive head and neck examination, the visual examination and palpation of oral tissues, the conventional clinical examination alone is not enough to predict the histopathological diagnosis of lesions. Therefore, it is necessary to develop help tools that will increase the effectiveness of clinical examination, which will facilitate the detection and diagnosis of oral potential malignant disorders and oral cancer lesions. Thanks to the rapid and revolutionary developments in image analysis and diagnostic technologies in recent years, artificial intelligence applications combined with oral photographs, omiks technologies, light-based imaging systems are highlighted as tools that can be used for this purpose. These systems are believed to be used in many different areas, such as the forecast and treatment results of oral cancer, the detection of lymph nodus holding, the classification of oral mucous lesions, the distinctive diagnosis of lesions with malignant and malignant transformation potential. The aim of this collection is to promote the various artificial intelligence technologies developed for the purpose of automatic diagnosis and classification of oral mucous lesions and to evaluate the potential benefits that these systems will provide in early diagnosis of oral cancer.

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