Objectives To assess how to control, detect, and treat secondary caries. This review serves
to inform a joint ORCA/EFCD consensus process. Methods Systematic and non-systematic …

Objectives In this pilot study, we applied deep convolutional neural networks (CNNs) to
detect caries lesions in Near-Infrared-Light Transillumination (NILT) images. Methods 226 …

The advance in digital diagnostic technologies has significantly facilitated the detection of
dental caries. Despite the increase in clinically available digital diagnostic aids for dental …

Background Dental caries is a worldwide challenge for public health. The aim of this 18-
month double-blinded, randomized, clinical trial was to compare the caries-preventing effect …

Objectives: The present study aimed to train deep convolutional neural networks (CNNs) to
detect caries lesions on Near-Infrared Light Transillumination (NILT) imagery obtained either …

Objective: Current diagnostic tools for non-cavitated occlusal caries are not very reliable. For
this reason, newer systems need to be developed. The aim of this study was to compare the …

Minimal intervention dentistry is now accepted as the contemporary approach for caries
management. The development of adjunctive technologies to assist early lesion detection …

Objectives The objective was to evaluate the diagnostic accuracy of radiographic evaluation
(XR), visual-tactile assessment (VT), laser-fluorescence (LF)(DIAGNOdent Pen/KaVo), and …

This paper presents the various applications of near-infrared light transillumination (NILT) in
dentistry. Untreated dental caries is considered the most prevalent health condition affecting …

The objective of this study was to evaluate the clinical ability of Near-Infrared Light-
Transillumination (NILT) for approximal dentinal caries detection and to compare with direct …