Ali Sami Mohsin
Volume 8, Issue 3 2024
Page: 1-8
Oral cancer, a significant global health concern, has seen considerable progress in diagnostic methods, improving early detection and treatment outcomes. Traditional visual and tactile examinations, often supplemented by biopsies, have limitations in sensitivity and specificity, driving the development of advanced diagnostic technologies. Salivary biomarkers, optical imaging techniques like narrow band imaging (NBI), autofluorescence, and optical coherence tomography (OCT), as well as the integration of artificial intelligence (AI) and machine learning (ML), have shown promise in enhancing diagnostic accuracy. Additionally, liquid biopsy, molecular diagnostics, and nanotechnology offer non-invasive and precise detection methods. These advancements provide better visualization, early detection, and personalized treatment strategies, significantly improving patient outcomes. This abstract discusses these recent developments and their impact on the early diagnosis of oral cancer
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