Deep learning and diagnostic applications in oral and dental health have received
significant attention recently. In this review, studies applying deep learning to diagnose …

Diagnosing dental caries plays a pivotal role in preventing and treating tooth decay.
However, traditional methods of diagnosing caries often fall short in accuracy and efficiency …

Objective The aim of this work was to assemble a large annotated dataset of bitewing
radiographs and to use convolutional neural networks to automate the detection of dental …

Background Dental age estimation plays an important role in identifying an unknown
person. In forensic science, estimating age with high accuracy depends on the experience of …

Dental caries is one of the most prevalent oral diseases, and deep learning methods have
been used for caries diagnosis in large populations by leveraging RGB images. The existing …

The accuracy of artificial intelligence-aided (AI) caries diagnosis can vary considerably
depending on numerous factors. This review aimed to assess the diagnostic accuracy of AI …

Dental caries occurs from the interaction between oral bacteria and sugars, generating acids
that damage teeth over time. The importance of X-ray images for detecting oral problems is …

Background Advances in digital radiography for both intraoral and panoramic imaging and
cone-beam computed tomography have led the way to an increase in diagnostic capabilities …

Objectives Dental radiographs, particularly bitewing radiographs, are widely used in dental
diagnosis and treatment Dental image segmentation is difficult for various reasons, such as …

Tooth decay is a common oral disease worldwide, but errors in diagnosis can often be made
in dental clinics, which can lead to a delay in treatment. This study aims to use artificial …