AIMC Topic: Dental Caries

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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...
Tooth Neural Networks, Computer Algorithms Deep Learning Humans Cone-Beam Computed Tomography Dental Caries
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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...
Humans Biomarkers Female Child, Preschool Child Oral Health Male Case-Control Studies Health Behavior beta-Defensins Dental Caries Saliva Salivary Proteins and Peptides
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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 ...
Mouth Dental Plaque Male Child, Preschool Dental Caries Microbiota Bacteria Machine Learning Female Humans
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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 ...
Dentistry Dental Caries Dental Restoration, Permanent Humans Artificial Intelligence
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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...
Neural Networks, Computer Convolutional Neural Networks Imaging, Three-Dimensional Dental Caries Cone-Beam Computed Tomography Humans
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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...
Dental Caries Humans Dentists Deep Learning Radiography, Bitewing
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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...
Sensitivity and Specificity Humans Dental Caries Artificial Intelligence
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From inconsistent annotations to ground truth: Aggregation strategies for annotations of proximal carious lesions in dental imagery.

Journal of dentistry Mar 30, 2025
OBJECTIVES: Annotating carious lesions on images is challenging. For artificial intelligence (AI) applications, the aggregation of heterogeneous multi-examiner annotations into one single annotation (e.g. via majority voting, MV) is usually needed. W...
Dentin Radiography, Dental Transillumination Dental Caries Dental Enamel Humans ROC Curve Artificial Intelligence Image Processing, Computer-Assisted
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Use machine learning to predict treatment outcome of early childhood caries.

BMC oral health Mar 15, 2025
BACKGROUND: Early childhood caries (ECC) is a major oral health problem among preschool children that can significantly influence children's quality of life. Machine learning can accurately predict the treatment outcome but its use in ECC management ...
Female Child, Preschool Humans Male Treatment Outcome Bayes Theorem Machine Learning Dental Caries Oral Hygiene
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Assessment of CNNs, transformers, and hybrid architectures in dental image segmentation.

Journal of dentistry Mar 8, 2025
OBJECTIVES: Convolutional Neural Networks (CNNs) have long dominated image analysis in dentistry, reaching remarkable results in a range of different tasks. However, Transformer-based architectures, originally proposed for Natural Language Processing...
Deep Learning Image Processing, Computer-Assisted Tooth Radiography, Panoramic Humans Neural Networks, Computer Dental Caries
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