Artificial Intelligence and Machine Learning in Oral Cancer Detection: A Scoping Review of Modern Diagnostic Approaches and Future Frontiers in the Detection of Oral Cancer.
Author(s): Soumya Kavuluri* and Raghava Danwada
Abstract
The advancement of AI in oral cancer screening and detection requires a comprehensive and strategic approach. Foundational to this progress is the accessibility and quality of diverse datasets, crucial for training AI models that can discern oral cancer in various demographics and stages. Technological integration, particularly with advanced imaging technologies and the amalgamation of multimodal data, ensures a more nuanced and precise analysis of oral lesions.