AIMC Topic: Malocclusion

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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...
Humans Adolescent Neural Networks, Computer Male Support Vector Machine Mandible Malocclusion Female Cephalometry Regression Analysis Young Adult Anatomic Landmarks Adult
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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.
Infant Artificial Intelligence Face Humans Adult Esthetics, Dental Young Adult Female Index of Orthodontic Treatment Need Smiling 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 Malocclusion Anterior Eye Segment Tomography, Optical Coherence Deep Learning Gonioscopy Anterior Chamber Glaucoma, Angle-Closure
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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.
Dentition, Permanent Malocclusion Algorithms Artificial Intelligence Cephalometry Mandible Humans
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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...
Malocclusion Imaging, Three-Dimensional Humans Cone-Beam Computed Tomography Deep Learning
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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 Brackets Young Adult Dental Arch Adolescent Treatment Outcome Orthodontic Appliance Design Male Humans Prospective Studies Female Malocclusion
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