AIMC Topic: Malocclusion

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Toward Clinically Applicable 3-Dimensional Tooth Segmentation via Deep Learning.

Journal of dental research Nov 1, 2021
Digital dentistry plays a pivotal role in dental health care. A critical step in many digital dental systems is to accurately delineate individual teeth and the gingiva in the 3-dimension intraoral scanned mesh data. However, previous state-of-the-ar...
Humans Deep Learning Tooth Malocclusion
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Deep learning based prediction of necessity for orthognathic surgery of skeletal malocclusion using cephalogram in Korean individuals.

BMC oral health Mar 18, 2021
BACKGROUND: Posteroanterior and lateral cephalogram have been widely used for evaluating the necessity of orthognathic surgery. The purpose of this study was to develop a deep learning network to automatically predict the need for orthodontic surgery...
Cephalometry Malocclusion Malocclusion, Angle Class III Orthognathic Surgery Orthognathic Surgical Procedures Humans Republic of Korea Deep Learning
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Deep learning based discrimination of soft tissue profiles requiring orthognathic surgery by facial photographs.

Scientific reports Oct 1, 2020
Facial photographs of the subjects are often used in the diagnosis process of orthognathic surgery. The aim of this study was to determine whether convolutional neural networks (CNNs) can judge soft tissue profiles requiring orthognathic surgery usin...
Dentofacial Deformities Humans Photography, Dental Male Deep Learning Reproducibility of Results Face Malocclusion Neural Networks, Computer Young Adult Female Orthognathic Surgical Procedures Adult
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Use of automated learning techniques for predicting mandibular morphology in skeletal class I, II and III.

Forensic science international Oct 12, 2017
BACKGROUND: The prediction of the mandibular bone morphology in facial reconstruction for forensic purposes is usually performed considering a straight profile corresponding to skeletal class I, with application of linear and parametric analysis whic...
Cephalometry Malocclusion Regression Analysis Anatomic Landmarks Neural Networks, Computer Female Young Adult Adolescent Humans Adult Mandible Male Support Vector Machine
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Using artificial intelligence to determine the influence of dental aesthetics on facial attractiveness in comparison to other facial modifications.

European journal of orthodontics Aug 16, 2022
BACKGROUND: Facial aesthetics is a major motivating factor for undergoing orthodontic treatment.
Young Adult Adult Infant Artificial Intelligence Female Humans Smiling Esthetics, Dental Index of Orthodontic Treatment Need Face Malocclusion
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Automatic Anterior Chamber Angle Classification Using Deep Learning System and Anterior Segment Optical Coherence Tomography Images.

Translational vision science & technology May 3, 2021
PURPOSE: The purpose of this study was to develop a software package for the automatic classification of anterior chamber angle using anterior segment optical coherence tomography (AS-OCT).
Humans Deep Learning Tomography, Optical Coherence Glaucoma, Angle-Closure Gonioscopy Malocclusion Anterior Chamber Anterior Eye Segment
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Evaluation of the efficiency of computerized algorithms to formulate a decision support system for deepbite treatment planning.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics Apr 1, 2021
INTRODUCTION: This study aimed to evaluate the efficiency of a newly constructed computer-based decision support system (DSS) on the basis of artificial intelligence technology and designed to plan treatment for patients with a deep overbite.
Algorithms Mandible Cephalometry Humans Artificial Intelligence Malocclusion Dentition, Permanent
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Malocclusion Classification on 3D Cone-Beam CT Craniofacial Images Using Multi-Channel Deep Learning Models.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Analyzing and interpreting cone-beam computed tomography (CBCT) images is a complicated and often time-consuming process. In this study, we present two different architectures of multi-channel deep learning (DL) models: "Ensemble" and "Synchronized m...
Deep Learning Cone-Beam Computed Tomography Malocclusion Imaging, Three-Dimensional Humans
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Method for evaluation of transverse dimension in self-ligating orthodontic treatment. A comparative study.

Acta odontologica latinoamericana : AOL Dec 1, 2017
Knowledge of the best way to evaluate changes in transverse dimension produced by orthodontic treatment enables the estimation of potential space that may be generated and optimizes planning. The aim of this study was to compare two methods for measu...
Orthodontic Appliance Design Adolescent Treatment Outcome Humans Young Adult Dental Arch Orthodontic Brackets Female Prospective Studies Malocclusion Male
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