AIMC Topic: Dentition, Mixed

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A novel deep learning-based model for automated tooth detection and numbering in mixed and permanent dentition in occlusal photographs.

BMC oral health Mar 29, 2025
BACKGROUND: While artificial intelligence-driven approaches have shown great promise in dental diagnosis and treatment planning, most research focuses on dental radiographs. Only three studies have explored automated tooth numbering in oral photograp...
Dentition, Permanent Dentition, Mixed Tooth Photography, Dental Humans Deep Learning Neural Networks, Computer
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Artificial intelligence system for automatic tooth detection and numbering in the mixed dentition in CBCT.

European journal of paediatric dentistry Feb 1, 2025
AIM: To evaluate the effectiveness and accuracy of artificial intelligence (AI) by automating tooth segmentation in CBCT volumes of paediatric patients with mixed dentition, using nnU-Netv2 algorithm.
Humans Artificial Intelligence Cone-Beam Computed Tomography Tooth Dentition, Mixed Algorithms Child
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Fully automated method for three-dimensional segmentation and fine classification of mixed dentition in cone-beam computed tomography using deep learning.

Journal of dentistry Oct 22, 2024
OBJECTIVE: To establish a high-precision, automated model using deep learning for the fine classification and three-dimensional (3D) segmentation of mixed dentition in cone-beam computed tomography (CBCT) images.
Dentition, Mixed Image Processing, Computer-Assisted Dentition, Permanent Male Deep Learning Cone-Beam Computed Tomography Imaging, Three-Dimensional Child Humans Female
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A deep-learning system for diagnosing ectopic eruption.

Journal of dentistry Oct 17, 2024
OBJECTIVES: To construct a diagnostic model for mixed dentition using a multistage deep-learning network to predict potential ectopic eruption in permanent teeth by integrating dentition segmentation into the process of automatic classification of de...
Humans Sensitivity and Specificity Male Deep Learning Artificial Intelligence Female Dentition, Mixed Tooth Eruption, Ectopic Child Radiography, Panoramic
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YOLO-V5 based deep learning approach for tooth detection and segmentation on pediatric panoramic radiographs in mixed dentition.

BMC medical imaging Jul 11, 2024
OBJECTIVES: In the interpretation of panoramic radiographs (PRs), the identification and numbering of teeth is an important part of the correct diagnosis. This study evaluates the effectiveness of YOLO-v5 in the automatic detection, segmentation, and...
Tooth Dentition, Mixed Adolescent Child, Preschool Radiography, Panoramic Pediatric Dentistry Child Male Deep Learning Humans Female
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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...
Dentition, Mixed Radiography, Panoramic Molar Humans Artificial Intelligence Reproducibility of Results
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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.
Child ROC Curve Deep Learning Pilot Projects Tooth, Supernumerary Dentition, Mixed Algorithms Retrospective Studies Humans
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Machine learning based orthodontic treatment planning for mixed dentition borderline cases suffering from moderate to severe crowding: An experimental research study.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2023
BACKGROUND: Pedodontists and general practitioners may need support in planning the early orthodontic treatment of patients with mixed dentition, especially in borderline cases. The use of machine learning algorithms is required to be able to consist...
Machine Learning Algorithms Bayes Theorem Dentition, Mixed Reproducibility of Results Humans
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Estimating the size of unerupted teeth: Moyers vs deep learning.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics Mar 1, 2022
INTRODUCTION: This study aimed to design a deep learning (DL) system for estimating the sum of the mesiodistal widths (MDWs) of unerupted mandibular canines and premolars in the mixed dentition period and to clarify its performance by comparing DL es...
Odontometry Tooth, Unerupted Cuspid Humans Dentition, Mixed Deep Learning
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