AI-Powered Dental Caries Detection

Tooth decay, or dental caries, is a prevalent global health issue that underscores the need for early detection and diagnosis to effectively prevent serious dental problems. Our research, "AI Powered Dental Caries Detection" seeks to address this challenge by utilizing Artificial Intelligence (AI) for early detection of dental caries. This research focuses on analyzing intraoral images taken via smartphone cameras. Our research harnesses state-of-the-art deep learning (DL) object detection models such as YOLO (You Only Look Once), EfficientDet, MobileNet and resNet-50 to deliver a highly effective solution for detecting dental caries in the early stages. In addition to improving dental care's effectiveness, this kind of technology also lowers costs and increases accessibility, especially for people living in low-and middle-income areas where traditional dental services could be out of reach. Our research goal is to make proactive management of oral health possible, which will eventually enhance general health and quality of life. Our research indicates that ResNet-50 is the most effective model, while MobileNet serves as a strong alternative. The study introduces YOLOv8 and ResNet-50 for dental caries detection in mobile app. These findings have substantial implications for enhancing dental care practices and potentially increasing accessibility to early detection across various demographics.