AIMC Topic: Malocclusion, Angle Class II

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Fully automated evaluation of condylar remodeling after orthognathic surgery in skeletal class II patients using deep learning and landmarks.

Journal of dentistry May 17, 2025
OBJECTIVE: Condylar remodeling is a key prognostic indicator in maxillofacial surgery for skeletal class II patients. This study aimed to develop and validate a fully automated method leveraging landmark-guided segmentation and registration for effic...
Female Young Adult Adult Male Humans Algorithms Tomography, X-Ray Computed Orthognathic Surgical Procedures Bone Remodeling Malocclusion, Angle Class II Mandibular Condyle Deep Learning Adolescent Mandible Anatomic Landmarks
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Three-dimensional analysis of mandibular and condylar growth using artificial intelligence tools: a comparison of twin-block and Frankel II Appliances.

BMC oral health Feb 18, 2025
BACKGROUND: Analyzing the morphological growth changes upon mandibular advancement between Twin Block (TB) and Functional Regulator II (FR2) in Class II patients involves measuring the condylar and mandibular changes in terms of linear and volumetric...
Artificial Intelligence Female Male Child Humans Mandibular Advancement Malocclusion, Angle Class II Mandibular Condyle Orthodontic Appliances, Functional Cone-Beam Computed Tomography Imaging, Three-Dimensional Mandible Cephalometry
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Lateral cephalometric parameters among Arab skeletal classes II and III patients and applying machine learning models.

Clinical oral investigations Sep 3, 2024
BACKGROUND: The World Health Organization considers malocclusion one of the most essential oral health problems. This disease influences various aspects of patients' health and well-being. Therefore, making it easier and more accurate to understand a...
Malocclusion, Angle Class II Malocclusion, Angle Class III Adult Male Adolescent Child Principal Component Analysis Cephalometry Arabs Israel Humans Machine Learning Female
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Facial soft-tissue shape changes after fixed edgewise treatment with premolar extraction in individual artificial-intelligence-classified facial profile patterns.

BMC oral health Jun 27, 2024
OBJECTIVE: To examine the patterns of pretreatment facial soft tissue shape in orthodontic cases with premolar extraction using artificial intelligence (AI) and to investigate the corresponding changes.
Malocclusion, Angle Class I Chin Malocclusion, Angle Class II Bicuspid Mandible Young Adult Face Cephalometry Male Malocclusion Tooth Extraction Adolescent Nose Tooth Movement Techniques Child Lip Humans Artificial Intelligence Female
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Artificial intelligence as a prediction tool for orthognathic surgery assessment.

Orthodontics & craniofacial research May 7, 2024
INTRODUCTION: An ideal orthodontic treatment involves qualitative and quantitative measurements of dental and skeletal components to evaluate patients' discrepancies, such as facial, occlusal, and functional characteristics. Deciding between orthodon...
Adult Male Adolescent Cephalometry Orthognathic Surgical Procedures Malocclusion, Angle Class II Malocclusion, Angle Class III Orthognathic Surgery Machine Learning Clinical Decision-Making Female Humans Young Adult Artificial Intelligence
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Facial profile evaluation and prediction of skeletal class II patients during camouflage extraction treatment: a pilot study.

Head & face medicine Dec 4, 2023
BACKGROUND: The evaluation of the facial profile of skeletal Class II patients with camouflage treatment is of great importance for patients and orthodontists. The aim of this study is to explore the key factors in evaluating the facial profile esthe...
Cephalometry Maxilla Lip Malocclusion, Angle Class II Humans Artificial Intelligence Esthetics, Dental Pilot Projects
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Applying artificial intelligence to assess the impact of orthognathic treatment on facial attractiveness and estimated age.

International journal of oral and maxillofacial surgery Aug 4, 2018
This observational study aimed to use artificial intelligence to describe the impact of orthognathic treatment on facial attractiveness and age appearance. Pre- and post-treatment photographs (n=2164) of 146 consecutive orthognathic patients were col...
Malocclusion, Angle Class III Longitudinal Studies Orthognathic Surgical Procedures Open Bite Retrospective Studies Osteotomy Humans Photography Face Female Artificial Intelligence Esthetics Facial Asymmetry Adult Algorithms Malocclusion, Angle Class II Male
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Hierarchical clustering analysis & machine learning models for diagnosing skeletal classes I and II in German patients.

BMC oral health May 15, 2025
BACKGROUND: Classification is one of the most common tasks in artificial intelligence (AI) driven fields in dentistry and orthodontics. The AI abilities can significantly improve the orthodontist's critical mission to diagnose and treat patients prec...
Malocclusion, Angle Class I Male Adolescent Support Vector Machine Reproducibility of Results Cluster Analysis Discriminant Analysis Humans Young Adult Cephalometry Adult Machine Learning Germany Sensitivity and Specificity Malocclusion, Angle Class II Female
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[Cranial Facial 3D Biometry: Statistical analysis of Class II disharmonies].

L' Orthodontie francaise Jun 1, 2020
We could study Cone Beam documents of patients consulting in ORL with standard Angle Class I occlusion (45 ND), patients consulting in orthodontics with an orthodontic Class II (51 APNS) and patients with a surgical Class II (83 APS). The used 3D bio...
Artificial Intelligence Cephalometry Biometry Skull Malocclusion, Angle Class II Humans
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