AI-assisted automatic dental disease detection with radiography
Dental radiography is an essential tool for diagnostics of dental diseases. Dental radiography interpretation is time-consuming and often error-prone due to a high variety of dental structures, positioning and orientation errors, and the substantial amount of radiographs that need to be analysed. An automatic solution for flagging abnormalities in dental radiography is needed to improve detection accuracy cost and reduce the economical and human costs. This project aims to use AI to bridge this gap to find and validate such a solution, by building a software prototype enabling computers to recognise normal anatomical structures and differentiate from subtle abnormalities in digitised dental radiographs.