AIMC Topic: Tooth, Deciduous

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Novel AI-based tool for primary tooth segmentation on CBCT using convolutional neural networks: A validation study.

International journal of paediatric dentistry May 20, 2024
BACKGROUND: Primary teeth segmentation on cone beam computed tomography (CBCT) scans is essential for paediatric treatment planning. Conventional methods, however, are time-consuming and necessitate advanced expertise.
Humans Child Cone-Beam Computed Tomography Image Processing, Computer-Assisted Artificial Intelligence Retrospective Studies Neural Networks, Computer Tooth, Deciduous
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Deep learning-based detection of irreversible pulpitis in primary molars.

International journal of paediatric dentistry May 9, 2024
BACKGROUND: Changes in healthy and inflamed pulp on periapical radiographs are traditionally so subtle that they may be imperceptible to human experts, limiting its potential use as an adjunct clinical diagnostic feature.
Pulpitis Male Deep Learning Tooth, Deciduous Child Molar Feasibility Studies Child, Preschool Retrospective Studies Humans Female Sensitivity and Specificity
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Machine learning aided single cell image analysis improves understanding of morphometric heterogeneity of human mesenchymal stem cells.

Methods (San Diego, Calif.) Mar 13, 2024
The multipotent stem cells of our body have been largely harnessed in biotherapeutics. However, as they are derived from multiple anatomical sources, from different tissues, human mesenchymal stem cells (hMSCs) are a heterogeneous population showing ...
Tooth, Deciduous Wharton Jelly Immunophenotyping Mesenchymal Stem Cells Machine Learning Cells, Cultured Humans Single-Cell Analysis Image Processing, Computer-Assisted Flow Cytometry
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Information fusion for infant age estimation from deciduous teeth using machine learning.

American journal of biological anthropology Feb 24, 2024
OBJECTIVES: Over the past few years, several methods have been proposed to improve the accuracy of age estimation in infants with a focus on dental development as a reliable marker. However, traditional approaches have limitations in efficiently comb...
Tooth, Deciduous Neural Networks, Computer Infant Machine Learning Age Determination by Teeth Child, Preschool Humans Infant, Newborn Male Female
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Effects of design software program and manufacturing method on the marginal and internal adaptation of esthetic crowns for primary teeth: A microcomputed tomography evaluation.

The Journal of prosthetic dentistry Jan 8, 2024
STATEMENT OF PROBLEM: The adaptation of digitally produced crowns is affected by the design software program and manufacturing method. The effect of artificial intelligence (AI) software program design on the adaptation of the crowns is unclear and c...
Tooth, Deciduous Artificial Intelligence X-Ray Microtomography Software Esthetics, Dental
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Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs.

Dento maxillo facial radiology Mar 4, 2021
OBJECTIVE: This study evaluated the use of a deep-learning approach for automated detection and numbering of deciduous teeth in children as depicted on panoramic radiographs.
Child Radiography, Panoramic Tooth, Deciduous Tooth Turkey Humans Artificial Intelligence Algorithms
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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...
Dental Plaque Tooth, Deciduous Gingivitis Humans Child Deep Learning Dental Caries
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Identifying Primary Proximal Caries Lesions in Pediatric Patients From Bitewing Radiographs Using Artificial Intelligence.

Pediatric dentistry Sep 15, 2024
To develop a no-code artificial intelligence (AI) model capable of identifying primary proximal surface caries using bitewings among pediatric patients. One hundred bitewing radiographs acquired at pediatric dental clinics were anonymized and revie...
Humans Artificial Intelligence Dental Caries Tooth, Deciduous Radiography, Bitewing Child, Preschool Child Sensitivity and Specificity
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A pilot study of a deep learning approach to submerged primary tooth classification and detection.

International journal of computerized dentistry Feb 26, 2021
AIM: The aim of the study was to compare the success and reliability of an artificial intelligence (AI) application in the detection and classification of submerged teeth in panoramic radiographs.
Child Tooth, Deciduous Reproducibility of Results Deep Learning Pilot Projects Humans Artificial Intelligence
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[Effect of TNF-α on the ability of stem cells from human exfoliated deciduous teeth to promote osteoclastogenesis].

Shanghai kou qiang yi xue = Shanghai journal of stomatology Oct 1, 2018
PURPOSE: To investigate the effect of tumor necrosis factor-α (TNF-α) on the ability of stem cells from human exfoliated deciduous teeth (SHED) to promote osteoclastogenesis.
NF-kappa B Osteogenesis Humans Leukocytes, Mononuclear Tumor Necrosis Factor-alpha Tooth, Deciduous Cells, Cultured Stem Cells
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