AIMC Topic: Dental Caries

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Development and validation of a novel public prediction platform for deciduous caries in preschool children: an observational study from Northwest China.

BMC pediatrics Aug 5, 2025
BACKGROUND: Early childhood caries (ECC) is a major global public health concern, necessitating its early screening. This study aimed to establish a caries risk assessment (CRA) platform for managing caries in community preschool children in underdev...
Female Male Risk Assessment Humans Logistic Models Dental Caries Tooth, Deciduous Child, Preschool ROC Curve China
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Identification of cariogenic bacteria by click chemistry mediated polyethylene glycolized graphyne nanozymes.

Mikrochimica acta Jul 28, 2025
Dental caries, one of the most common oral diseases, is mainly induced by multiple cariogenic bacteria in the oral microenvironment, so it is important to construct a method that can identify oral multiply cariogenic bacteria. Herein, a machine learn...
Catalysis Dental Caries Polyethylene Glycols Graphite Saliva Click Chemistry Humans Colorimetry
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Ensemble learning for microbiome-based caries diagnosis: multi-group modeling and biological interpretation from salivary and plaque metagenomic data.

BMC oral health Jul 17, 2025
BACKGROUND: Oral microbiota is a major etiological factor in the development of dental caries. Next-generation sequencing techniques have been widely used, generating vast amounts of data which is underexplored. The advancement of artificial intellig...
Female Male Child, Preschool Neural Networks, Computer Machine Learning Dental Caries Saliva Microbiota Child RNA, Ribosomal, 16S Humans Ensemble Learning Dental Plaque Metagenomics
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Application of Mask R-CNN for automatic recognition of teeth and caries in cone-beam computerized tomography.

BMC oral health Jun 6, 2025
OBJECTIVES: Deep convolutional neural networks (CNNs) are advancing rapidly in medical research, demonstrating promising results in diagnosis and prediction within radiology and pathology. This study evaluates the efficacy of deep learning algorithms...
Algorithms Deep Learning Humans Cone-Beam Computed Tomography Neural Networks, Computer Dental Caries Tooth
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Comparison of salivary statherin and beta-defensin-2 levels, oral health behaviors, and demographic factors in children with and without early childhood caries.

BMC oral health May 31, 2025
BACKGROUND: Early childhood caries (ECC) is a widespread pediatric dental condition that is influenced by a combination of biological, behavioral, and demographic factors. Salivary biomarkers, including beta-defensin-2 (BD-2) and statherin (STATH), o...
beta-Defensins Salivary Proteins and Peptides Saliva Case-Control Studies Health Behavior Child, Preschool Humans Male Biomarkers Oral Health Female Dental Caries Child
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Single-tooth resolved, whole-mouth prediction of early childhood caries via spatiotemporal variations of plaque microbiota.

Cell host & microbe May 30, 2025
Early childhood caries (ECC) exhibits tooth specificity, highlighting the need for single-tooth-level prevention. We profiled 2,504 dental plaque microbiota samples from 89 preschoolers across two cohorts, tracking compositional changes with imputed ...
Male Child, Preschool Dental Caries Microbiota Bacteria Humans Machine Learning Female Mouth Dental Plaque
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Artificial intelligence (AI) in restorative dentistry: current trends and future prospects.

BMC oral health Apr 18, 2025
BACKGROUND: Artificial intelligence (AI) holds immense potential in revolutionizing restorative dentistry, offering transformative solutions for diagnostic, prognostic, and treatment planning tasks. Traditional restorative dentistry faces challenges ...
Dental Caries Humans Artificial Intelligence Dental Restoration, Permanent Dentistry
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Localisation and classification of multi-stage caries on CBCT images with a 3D convolutional neural network.

Clinical oral investigations Apr 14, 2025
OBJECTIVES: Dental caries remains a significant global health concern. Recognising the diagnostic potential of cone-beam computed tomography (CBCT) in caries assessment, this study aimed to develop an artificial intelligence (AI)-driven tool for accu...
Humans Dental Caries Neural Networks, Computer Cone-Beam Computed Tomography Imaging, Three-Dimensional Convolutional Neural Networks
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Evaluation of Caries Detection on Bitewing Radiographs: A Comparative Analysis of the Improved Deep Learning Model and Dentist Performance.

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] Apr 7, 2025
OBJECTIVES: The application of deep learning techniques for detecting caries in bitewing radiographs has gained significant attention in recent years. However, the comparative performance of various modern deep learning models and strategies to enhan...
Deep Learning Dental Caries Radiography, Bitewing Dentists Humans
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Accuracy of artificial intelligence in caries detection: a systematic review and meta-analysis.

Head & face medicine Apr 4, 2025
INTRODUCTION: Artificial intelligence (AI) has significantly transformed the diagnosis and treatment of dental caries, a prevalent issue in oral health care. Traditional diagnostic procedures such as eye inspection and radiography have limitations in...
Artificial Intelligence Sensitivity and Specificity Dental Caries Humans
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