AIMC Topic: Dental Caries

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Development and evaluation of deep learning for screening dental caries from oral photographs.

Oral diseases Dec 19, 2020
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.
Area Under Curve Humans Dental Caries Algorithms Deep Learning Neural Networks, Computer
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Robotic approach to the reduction of dental anxiety in children.

Acta odontologica Scandinavica Jul 30, 2020
OBJECTIVE: We introduced a humanoid robot for the use of techno-psychological distraction techniques in children aged 4-10 to reduce their anxiety and improve their behaviour during dental treatment.
Robotics Robotic Surgical Procedures Child, Preschool Child Dental Anxiety Dental Caries Anesthesia, Local Female Male Humans
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Detecting caries lesions of different radiographic extension on bitewings using deep learning.

Journal of dentistry Jul 4, 2020
OBJECTIVES: We aimed to apply deep learning to detect caries lesions of different radiographic extension on bitewings, hypothesizing it to be significantly more accurate than individual dentists.
Humans Neural Networks, Computer Dentin Dental Caries Susceptibility Deep Learning Dental Enamel Dental Caries
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Deep learning-based dental plaque detection on primary teeth: a comparison with clinical assessments.

BMC oral health May 13, 2020
BACKGROUND: Dental plaque causes many common oral diseases (e.g., caries, gingivitis, and periodontitis). Therefore, plaque detection and control are extremely important for children's oral health. The objectives of this study were to design a deep l...
Tooth, Deciduous Gingivitis Dental Caries Dental Plaque Deep Learning Child Humans
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Analysis of Licorice () Root Extract Activity on in Comparison to Chlorhexidine and Fluoride Mouthwash.

The journal of contemporary dental practice Dec 1, 2019
AIM: The present study was done to determine the activity of licorice root extract on () in comparison to chlorhexidine and fluoride mouthwash.
Fluorides Dental Caries Humans Glycyrrhiza Chlorhexidine Mouthwashes Streptococcus mutans Plant Extracts
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Development of artificial neural network model for prediction of post-streptococcus mutans in dental caries.

Computer methods and programs in biomedicine Nov 12, 2019
BACKGROUND AND OBJECTIVE: Streptococcus mutans is the primary initiator and most common organism associated with dental caries. Prediction of post-Streptococcus mutans favours in the selection of appropriate caries excavation method which eventually ...
Adolescent Child Streptococcus mutans Dental Caries Humans Neural Networks, Computer
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Caries Detection with Near-Infrared Transillumination Using Deep Learning.

Journal of dental research Aug 26, 2019
Dental caries is the most prevalent chronic condition worldwide. Early detection can significantly improve treatment outcomes and reduce the need for invasive procedures. Recently, near-infrared transillumination (TI) imaging has been shown to be eff...
Dental Caries Neural Networks, Computer Humans Transillumination Deep Learning
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Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm.

Journal of dentistry Jul 26, 2018
OBJECTIVES: Deep convolutional neural networks (CNNs) are a rapidly emerging new area of medical research, and have yielded impressive results in diagnosis and prediction in the fields of radiology and pathology. The aim of the current study was to e...
Algorithms ROC Curve Humans Deep Learning Dental Caries Neural Networks, Computer
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Pharmacokinetics of Iodine and Fluoride following Application of an Anticaries Varnish in Adults.

JDR clinical and translational research Apr 25, 2018
Researchers have suggested that combining topical fluoride with an antiseptic to reduce cariogenic bacteria may be more effective than fluoride application alone in preventing dental caries. In previous studies, povidone iodine (PVP-I), a widely used...
Adult Middle Aged Fluorides Humans Fluorides, Topical Iodine Young Adult Paint Dental Caries
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Predictive Analysis of Dental Caries Risk via Rapid Urease Activity Evaluation in Saliva Using a ZIF-8 Nanoporous Membrane.

ACS sensors Jun 27, 2025
Despite a decrease in the incidence of dental caries over the past four decades, it remains a widespread public health concern. The multifactorial etiology of dental caries complicates effective prevention and early intervention efforts, underscoring...
Humans Dental Caries Zeolites Membranes, Artificial Nanopores Urease Saliva
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