Transforming Oral Healthcare Using Machine Learning Technique

This work proposes new methodologies through an AI prediction model for timely diagnosis of oral cancer which leads to better prognosis and survival rates for individuals with this disease. It sews the current loopholes in existing work by incorporating diversified, real-time, authentic and validated data set that will be used to train the model, along with optimizing the model which greatly enhances the prediction rate and accuracy of the model. Central to this methodology is the development of a user-friendly, app-based tool that simplifies and accelerates the diagnostic process. This technology, which is intended for use by both the public and healthcare professionals, provides an affordable option that improves accessibility to prompt diagnosis, especially for marginalized communities. This instrument is a crucial asset in the fight against oral cancer because of its high accuracy and ease of use, which may also improve patient outcomes and lower total healthcare expenditures.