Abstract
This paper examines the recent strides in biosensor technologies aimed at revolutionizing the early detection of oral cancer. Early diagnosis is pivotal in enhancing treatment efficacy and patient survival rates. This review provides an in-depth analysis of diverse biosensing methodologies, encompassing electrochemical, optical, and mass-based approaches. Incorporating nanomaterials and biomarkers are explored for heightened sensitivity and specificity in oral cancer detection. The discussion critically evaluates the challenges in current diagnostic methods for oral cancer and underscores the potential of advanced biosensors in overcoming these limitations. Emphasis is placed on the amalgamation of artificial intelligence and machine learning algorithms for robust data analysis, further refining diagnostic accuracy. This review highlights the transformative impact of advanced biosensor technologies on early-stage oral cancer diagnosis. Integrating innovative sensing strategies addresses current diagnostic challenges and holds the potential to minimize invasiveness and facilitate timely interventions, significantly improving patient outcomes in the realm of oral cancer.
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