An end-to-end deep-learning system for segmentation and classification of dental caries from radiovisiography images.

This study introduces a novel, fully automated artificial intelligence (AI)-based system for the accurate segmentation and classification of dental caries in RVG images. The DL framework demonstrates strong potential as a clinical decision support tool, enhancing diagnostic consistency and efficiency in dental radiology. The findings pave the way for integrating AI into routine dental diagnostics, ultimately leading to better patient care and optimized clinical workflows.