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 …

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

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

Dental caries is the most prevalent dental disease worldwide, and neural networks and
artificial intelligence are increasingly being used in the field of dentistry. This systematic …

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 …

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 …

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 …

Objectives Detecting caries lesions is challenging for dentists, and deep learning models
may help practitioners to increase accuracy and reliability. We aimed to systematically …

Objectives: We aimed to assess the impact of an artificial intelligence (AI)-based diagnostic-
support software for proximal caries detection on bitewing radiographs. Methods: A cluster …

Panoramic and periapical radiograph tools help dentists in diagnosing the most common
dental diseases, such as dental caries. Generally, dental caries is manually diagnosed by …