Untreated caries is significant problem that affected billion people over the world. Therefore,
the appropriate method and accuracy of caries detection in clinical decision-making in …

Although visual examination (VE) is the preferred method for caries detection, the analysis of
intraoral digital photographs in machine-readable form can be considered equivalent to VE …

A mobile-phone-based diagnostic tool, which most of the population can easily access,
could be a game changer in increasing the number of examinations of people with dental …

Background Intraoral photographic images are helpful in the clinical diagnosis of caries.
Moreover, the application of artificial intelligence to these images has been attempted …

The aim of this work is to present a computer-aided automated methodology for the
assessment of carious lesions, according to the International Caries Detection and …

Objectives This systematic review aimed at evaluating the performance of artificial
intelligence (AI) models in detecting dental caries on oral photographs. Methods …

Dental caries are one of the most prevalent chronic diseases. The management of dental
caries demands detection of carious lesions at early stages. This study aims to design an …

Caries is the most well-known disease and relates to the oral health of billions of people
around the world. Despite the importance and necessity of a well-designed detection …

The purpose of this study was to compare the performance of two different models of
smartphone and a conventional camera with that of direct clinical examination in detecting …

Objectives To develop and evaluate the performance of a deep learning system based on
convolutional neural network (ConvNet) to detect dental caries from oral photographs …