A Survey on Dentes Condition Detection System Using Machine Learning

Abstract

For dental health to be maintained and consequences to be avoided, early diagnosis of diseases connected to dentes is essential. Missed treatment possibilities arise from dentists' frequent inability to visually identify these problems. In response, a real-time X-ray analysis model has been created to quickly and precisely identify dental issues. This invention improves patient care by accelerating treatment planning and reducing the possibility of misdiagnosis. The concept saves time and dollars by streamlining diagnostics through the use of cutting-edge imaging technology. It increases the efficiency of dental care by doing away with time-consuming manual examinations. This model allows for early intervention in diseases connected to dentes, which represents a significant development in dental diagnosis.