AI Medical Compendium Journal:
International journal of paediatric dentistry

Showing 1 to 5 of 5 articles

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 Neural Networks, Computer Artificial Intelligence Retrospective Studies Child Cone-Beam Computed Tomography Image Processing, Computer-Assisted 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.
Humans Retrospective Studies Female Sensitivity and Specificity Male Deep Learning Child, Preschool Child Feasibility Studies Tooth, Deciduous Molar Pulpitis
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Exploring the potential of artificial intelligence in paediatric dentistry: A systematic review on deep learning algorithms for dental anomaly detection.

International journal of paediatric dentistry Jan 31, 2024
BACKGROUND: Artificial intelligence (AI) based on deep learning (DL) algorithms has shown promise in enhancing the speed and accuracy of dental anomaly detection in paediatric dentistry.
Humans Artificial Intelligence Algorithms Deep Learning Child Cone-Beam Computed Tomography Radiography, Panoramic Pediatric Dentistry Tooth Abnormalities
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Automatic segmentation and detection of ectopic eruption of first permanent molars on panoramic radiographs based on nnU-Net.

International journal of paediatric dentistry May 3, 2022
AIM: The purpose of this research was to present an artificial intelligence (AI) model, which can automatically segment and detect ectopic eruption of first permanent molars (EMMs) in early mixed dentition on panoramic radiographs using the no-new-Ne...
Humans Artificial Intelligence Reproducibility of Results Radiography, Panoramic Molar Dentition, Mixed
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Detecting the presence of supernumerary teeth during the early mixed dentition stage using deep learning algorithms: A pilot study.

International journal of paediatric dentistry Mar 30, 2022
BACKGROUND: Supernumerary teeth are a common anomaly and are frequently observed in paediatric patients. To prevent or minimize complications, early diagnosis and treatment is ideal in children with supernumerary teeth.
Humans Algorithms Retrospective Studies Deep Learning Pilot Projects Child ROC Curve Tooth, Supernumerary Dentition, Mixed
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