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Comparison of accuracy cone-beam computed tomography and digital bitewing radiography for detection of recurrent caries under various restorative materials: in vitro study
ObjectiveThe aim of this study was to compare and evaluate diagnostic accuracy of two different CBCT scan modes and digital bitewing radiography for...
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Dental Caries diagnosis from bitewing images using convolutional neural networks
BackgroundDental caries , also known as tooth decay , is a widespread and long-standing condition that affects people of all ages. This ailment is...
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Automatic caries detection in bitewing radiographs: part I—deep learning
ObjectiveThe aim of this work was to assemble a large annotated dataset of bitewing radiographs and to use convolutional neural networks to automate...
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Automatic caries detection in bitewing radiographs—Part II: experimental comparison
ObjectiveThe objective of this study was to compare the detection of caries in bitewing radiographs by multiple dentists with an automatic method and...
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Conventional bitewing radiography
Accurate detection and diagnosis of carious lesions is the prerequisite for application of the most effective caries management approach. However,...
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AI-Dentify: deep learning for proximal caries detection on bitewing x-ray - HUNT4 Oral Health Study
BackgroundDental caries diagnosis requires the manual inspection of diagnostic bitewing images of the patient, followed by a visual inspection and...
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Comparison Between Conventional Dental Radiography and CBCT
Dentistry is heavily reliant on X-rays for the diagnosis of dental disease and assessment of treatment outcome. Conventional dental radiography...
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Deep-learning approach for caries detection and segmentation on dental bitewing radiographs
ObjectivesThe aim of this study is to recommend an automatic caries detection and segmentation model based on the Convolutional Neural Network (CNN)...
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Assessment of YOLOv3 for caries detection in bitewing radiographs based on the ICCMS™ radiographic scoring system
ObjectivesTo assess the feasibility of the YOLOv3 model under the intersection over union (IoU) thresholds of 0.5 (IoU 50 ) and 0.75 (IoU 75 ) for...
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Diagnosis, Planning, and Working Protocols
The dentist must conduct a thorough and appropriate examination of the patient to assess the condition of the patient’s dental, oral, and perioral...
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Diagnosis of interproximal caries lesions with deep convolutional neural network in digital bitewing radiographs
ObjectivesThis study aimed to investigate the effectiveness of deep convolutional neural network (CNN) in the diagnosis of interproximal caries...
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Evaluation of diagnostic accuracy of CBCT and intraoral radiography for proximal caries detection in the presence of different dental restoration materials
PurposeThis study aimed to assess the diagnostic accuracy of cone-beam computed tomography (CBCT) and digital intraoral radiography for the detection...
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Eligibility of a novel BW + technology and comparison of sensitivity and specificity of different imaging methods for radiological caries detection
ObjectivesBitewing radiography is considered to be of high diagnostic value in caries detection, but owing to projections, lesions may remain...
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The ADEPT study: a comparative study of dentists' ability to detect enamel-only proximal caries in bitewing radiographs with and without the use of AssistDent artificial intelligence software
Introduction Reversal of enamel-only proximal caries by non-invasive treatments is important in preventive dentistry. However, detecting such caries...
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Evaluating cone cut in rectangular collimation in intraoral radiography: application of ALADA and radiation stewardship
ObjectiveRectangular collimation is a popular method used in intraoral radiography to reduce patient exposure to ionizing radiation. One of the...
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Progression of proximal caries in primary molars using the radiographic ICDAS: a retrospective cohort study
PurposeTo evaluate the proximal caries progression in primary molars using the radiographic International Caries Detection and Assessment System...
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ORCA-EFCD consensus report on clinical recommendation for caries diagnosis. Paper I: caries lesion detection and depth assessment
ObjectivesThe aim of the present consensus paper was to provide recommendations for clinical practice considering the use of visual examination,...
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In vivo correlation of near-infrared transillumination and visual inspection with bitewing radiography for the detection of interproximal caries in permanent and primary teeth
PurposeTo evaluate near-infrared light transillumination (NILT) for interproximal caries detection in children by comparing the correlation between...
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Comparative evaluation and patient satisfaction with an electrical impedance-based device versus digital radiography in the estimation of remaining dentin thickness in carious posterior permanent teeth: (Diagnostic accuracy study)
BackgroundAccurate assessment of remaining dentin thickness (RDT) is paramount for restorative decisions and treatment planning of vital teeth to...
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A novel deep learning-based perspective for tooth numbering and caries detection
ObjectivesThe aim of this study was automatically detecting and numbering teeth in digital bitewing radiographs obtained from patients, and...
