AIMC Topic: Malocclusion

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Orthodontic Implementation of Machine Learning Algorithms for Predicting Some Linear Dental Arch Measurements and Preventing Anterior Segment Malocclusion: A Prospective Study.

Medicina (Kaunas, Lithuania) Nov 9, 2023
: Orthodontics is a field that has seen significant advancements in recent years, with technology playing a crucial role in improving diagnosis and treatment planning. The study aimed to implement artificial intelligence to predict the arch width as ...
Artificial Intelligence Machine Learning Cephalometry Humans Dental Arch Malocclusion Prospective Studies Adult
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Orthodontic Aligners: Current Perspectives for the Modern Orthodontic Office.

Medicina (Kaunas, Lithuania) Oct 5, 2023
Orthodontic aligners are changing the practice of orthodontics. This system of orthodontic appliances is becoming the mainstay appliance of choice for orthodontic offices in many countries. Patient preferences and lifestyle needs have made this appli...
Malocclusion Humans Artificial Intelligence Treatment Outcome Tooth Movement Techniques
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Evaluation of AI Model for Cephalometric Landmark Classification (TG Dental).

Journal of medical systems Aug 24, 2023
The accuracy of cephalometric landmark identification for malocclusion classification is essential for diagnosis and treatment planning. Identifying these landmarks is often complex and time-consuming for orthodontists. An AI model for classification...
Software Malocclusion Humans Artificial Intelligence
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Clinical machine learning in parafunctional and altered functional occlusion: A systematic review.

The Journal of prosthetic dentistry Feb 17, 2023
STATEMENT OF PROBLEM: The advent of machine learning in the complex subject of occlusal rehabilitation warrants a thorough investigation into the techniques applied for successful clinical translation of computer automation. A systematic evaluation o...
Machine Learning Malocclusion Dental Occlusion Humans
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Deep learning-based prediction of mandibular growth trend in children with anterior crossbite using cephalometric radiographs.

BMC oral health Jan 17, 2023
BACKGROUND: It is difficult for orthodontists to accurately predict the growth trend of the mandible in children with anterior crossbite. This study aims to develop a deep learning model to automatically predict the mandibular growth result into norm...
Mandible Radiography Deep Learning Child Malocclusion Humans Neural Networks, Computer
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Artificial intelligence system for automated landmark localization and analysis of cephalometry.

Dento maxillo facial radiology Nov 16, 2022
OBJECTIVES: Cephalometric analysis is essential for diagnosis, treatment planning and outcome assessment of orthodontics and orthognathic surgery. Utilizing artificial intelligence (AI) to achieve automated landmark localization has proved feasible a...
Cephalometry Malocclusion Artificial Intelligence Radiography Humans Neural Networks, Computer
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Comparison between cephalometric measurements using digital manual and web-based artificial intelligence cephalometric tracing software.

Dental press journal of orthodontics Aug 15, 2022
OBJECTIVE: The aim of this study was to compare the measurements performed with digital manual (DM) cephalometric analysis and automatic cephalometric analysis obtained from an online artificial intelligence (AI) platform, according to different sagi...
Adolescent Mandible Internet Malocclusion Software Humans Cephalometry Young Adult Artificial Intelligence
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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 Malocclusion Tooth
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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...
Malocclusion, Angle Class III Orthognathic Surgery Malocclusion Republic of Korea Orthognathic Surgical Procedures Humans Deep Learning Cephalometry
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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...
Orthognathic Surgical Procedures Dentofacial Deformities Face Malocclusion Photography, Dental Young Adult Adult Humans Female Male Neural Networks, Computer Reproducibility of Results Deep Learning
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