The application of Artificial Intelligence in dental healthcare has a very promising role due to
the abundance of imagery and non-imagery-based clinical data. Expert analysis of dental …

Objectives This study aimed to investigate the effectiveness of deep convolutional neural
network (CNN) in the diagnosis of interproximal caries lesions in digital bitewing …

Radiographic imaging for the diagnosis of caries lesions has been a supplement to clinical
examination for approximately a century. Various methods, and particularly X-ray receptors …

The objective of this study is to assess the classification accuracy of dental caries on
panoramic radiographs using deep-learning algorithms. A convolutional neural network …

Background The detection and diagnosis of caries at the earliest opportunity is fundamental
to the preservation of tooth tissue and maintenance of oral health. Radiographs have …

Objectives The aim of the present consensus paper was to provide recommendations for
clinical practice considering the use of visual examination, dental radiography and adjunct …

Objectives The aim of this study was automatically detecting and numbering teeth in digital
bitewing radiographs obtained from patients, and evaluating the diagnostic efficiency of …

Background Extraoral bite-wing (EB) radiography is an imaging technology used in
dentistry. The authors conducted an in vivo study comparing the accuracy of intraoral …

Objective: To compare the diagnostic accuracy of digital intraoral and extraoral bitewing (EO
BW) radiography in the detection of enamel proximal caries regardless of their ability to …

Dental caries is tooth decay caused by bacterial infections. It is commonly known as cavities.
This infection causes demineralization and hence destruction of the teeth. Diagnosis of …