AIMC Topic: Maxilla

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Deep Learning Hybrid Method to Automatically Diagnose Periodontal Bone Loss and Stage Periodontitis.

Scientific reports May 5, 2020
We developed an automatic method for staging periodontitis on dental panoramic radiographs using the deep learning hybrid method. A novel hybrid framework was proposed to automatically detect and classify the periodontal bone loss of each individual ...
Pattern Recognition, Automated Humans Maxilla Algorithms Alveolar Bone Loss Reproducibility of Results Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Deep Learning Periodontitis Mandible
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Machine learning in orthodontics: .

The Angle orthodontist Aug 12, 2019
OBJECTIVES: To (1) introduce a novel machine learning method and (2) assess maxillary structure variation in unilateral canine impaction for advancing clinically viable information.
Humans Constriction Incisor Machine Learning Orthodontics Cuspid Adolescent Spiral Cone-Beam Computed Tomography Maxilla Tooth, Impacted Cone-Beam Computed Tomography Palatal Expansion Technique
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A novel multiple communication paths for surgical telepresence videos delivery of the maxilla area in oral and maxillofacial surgery.

International journal of computer assisted radiology and surgery Jan 16, 2019
PURPOSE: A surgical telepresence between two surgical sites where a local surgeon in the surgery site, who is less experienced, needs help from the expert surgeon located at a remote site. Furthermore, the primary aim of this paper is to improve the ...
Maxilla Oral Surgical Procedures Humans Video Recording Artificial Intelligence Man-Machine Systems Telemedicine
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ChatIOS: Improving automatic 3-dimensional tooth segmentation via GPT-4V and multimodal pre-training.

Journal of dentistry Jun 1, 2025
OBJECTIVES: This study aims to propose a framework that integrates GPT-4V, a recent advanced version of ChatGPT, and multimodal pre-training techniques to enhance deep learning algorithms for 3-dimensional (3D) tooth segmentation in scans produced by...
Image Processing, Computer-Assisted Deep Learning Humans Tooth Imaging, Three-Dimensional Algorithms Maxilla Mandible
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Machine Learning Models in the Detection of MB2 Canal Orifice in CBCT Images.

International dental journal Jun 1, 2025
OBJECTIVES: The objective of the present study was to determine the accuracy of machine learning (ML) models in the detection of mesiobuccal (MB2) canals in axial cone-beam computed tomography (CBCT) sections.
Humans Neural Networks, Computer Machine Learning Molar Maxilla Dental Pulp Cavity Cone-Beam Computed Tomography
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Automated diagnosis for extraction difficulty of maxillary and mandibular third molars and post-extraction complications using deep learning.

Scientific reports May 30, 2025
Optimal surgical methods require accurate prediction of extraction difficulty and complications. Although various automated methods related to third molar (M3) extraction have been proposed, none fully predict both extraction difficulty and post-extr...
Male Postoperative Complications Deep Learning Humans Female Adult Radiography, Panoramic Tooth Extraction Maxilla ROC Curve Molar, Third Mandible
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Development and validation of a graph convolutional network (GCN)-based automatic superimposition method for maxillary digital dental models (MDMs).

The Angle orthodontist May 1, 2025
OBJECTIVES: To validate the accuracy and reliability of a graph convolutional network (GCN)-based superimposition method of a maxillary digital dental model (MDM) by comparing it with manual superimposition and quantifying the clinical error from thi...
Neural Networks, Computer Humans Reproducibility of Results Image Processing, Computer-Assisted Imaging, Three-Dimensional Maxilla Models, Dental
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[Deep learning algorithms for intelligent construction of a three-dimensional maxillofacial symmetry reference plane].

Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences Feb 18, 2025
OBJECTIVE: To develop an original-mirror alignment associated deep learning algorithm for intelligent registration of three-dimensional maxillofacial point cloud data, by utilizing a dynamic graph-based registration network model (maxillofacial dynam...
Female Adult Male Humans Algorithms Deep Learning Imaging, Three-Dimensional Maxilla
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Artificial intelligence-based automated preprocessing and classification of impacted maxillary canines in panoramic radiographs.

Dento maxillo facial radiology Mar 25, 2024
OBJECTIVES: Automating the digital workflow for diagnosing impacted canines using panoramic radiographs (PRs) is challenging. This study explored feature extraction, automated cropping, and classification of impacted and nonimpacted canines as a firs...
Artificial Intelligence ROC Curve Radiography, Panoramic Cuspid Tooth, Impacted Maxilla Humans
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[Automated diagnostic classification with lateral cephalograms based on deep learning network model].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology Jun 9, 2023
To establish a comprehensive diagnostic classification model of lateral cephalograms based on artificial intelligence (AI) to provide reference for orthodontic diagnosis. A total of 2 894 lateral cephalograms were collected in Department of Orthodo...
Cephalometry Maxilla Deep Learning Mandible Humans Artificial Intelligence Female Young Adult Adult Male
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