AIMC Topic: Cephalometry

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Machine learning and geometric morphometrics to predict obstructive sleep apnea from 3D craniofacial scans.

Sleep medicine Apr 29, 2022
BACKGROUND: Obstructive sleep apnea (OSA) remains massively underdiagnosed, due to limited access to polysomnography (PSG), the highly complex gold standard for diagnosis. Performance scores in predicting OSA are evaluated for machine learning (ML) a...
Skull Polysomnography Sleep Apnea, Obstructive Head Middle Aged Surveys and Questionnaires Mass Screening Cephalometry Imaging, Three-Dimensional Humans Machine Learning Aged Male
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Evaluation of fully automated cephalometric measurements obtained from web-based artificial intelligence driven platform.

BMC oral health Apr 19, 2022
BACKGROUND: Artificial Intelligence has created a huge impact in different areas of dentistry. Automated cephalometric analysis is one of the major applications of artificial intelligence in the field of orthodontics. Various automated cephalometric ...
Humans Cephalometry Internet Orthodontics Artificial Intelligence Reproducibility of Results
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Accuracy of auto-identification of the posteroanterior cephalometric landmarks using cascade convolution neural network algorithm and cephalometric images of different quality from nationwide multiple centers.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics Jan 21, 2022
INTRODUCTION: The purpose of this study was to evaluate the accuracy of auto-identification of the posteroanterior (PA) cephalometric landmarks using the cascade convolution neural network (CNN) algorithm and PA cephalogram images of a different qual...
Reproducibility of Results Radiography Cephalometry Anatomic Landmarks Neural Networks, Computer Algorithms Humans
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Mandibular shape prediction model using machine learning techniques.

Clinical oral investigations Jan 8, 2022
OBJECTIVE: To create a mandibular shape prediction model using machine learning techniques and geometric morphometrics.
Mandible Cephalometry Machine Learning
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Development of a multi-stage model for intelligent and quantitative appraising of skeletal maturity using cervical vertebras cone-beam CT images of Chinese girls.

International journal of computer assisted radiology and surgery Jan 4, 2022
PURPOSE: Nowadays, the integration of Artificial intelligence algorithms and quantified radiographic imaging-based diagnostic procedures is hailing amplified deliberation particularly in assessment of skeletal maturity. So we intend to formulate a lo...
Humans Artificial Intelligence Female Cone-Beam Computed Tomography Cephalometry Cervical Vertebrae Reproducibility of Results China
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Evaluating the Effect of Denosumab in Preventing Anchorage Loss: A Split-mouth Randomized Controlled Trial.

The journal of contemporary dental practice Dec 1, 2021
AIM: The trial was focused on assessing the effect of Denosumab in preventing anchorage loss during en-masse anterior retraction and evaluating its effect on the retraction.
Orthodontic Anchorage Procedures Tooth Movement Techniques Mouth Humans Denosumab Cephalometry
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Assessment of automatic cephalometric landmark identification using artificial intelligence.

Orthodontics & craniofacial research Nov 29, 2021
OBJECTIVE: To compare the accuracy of cephalometric landmark identification between artificial intelligence (AI) deep learning convolutional neural networks (CNN) You Only Look Once, Version 3 (YOLOv3) algorithm and the manually traced (MT) group.
Cephalometry Incisor Artificial Intelligence Radiography
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Automatic localization of cephalometric landmarks based on convolutional neural network.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics Nov 18, 2021
INTRODUCTION: Cephalometry plays an important role in the diagnosis and treatment of orthodontics and orthognathic surgery. This study intends to develop an automatic landmark location system to make cephalometry more convenient.
Orthodontics Neural Networks, Computer Reproducibility of Results Anatomic Landmarks Cephalometry Radiography Humans
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Automatic detection and monitoring of abnormal skull shape in children with deformational plagiocephaly using deep learning.

Scientific reports Sep 9, 2021
Craniofacial anomaly including deformational plagiocephaly as a result of deformities in head and facial bones evolution is a serious health problem in newbies. The impact of such condition on the affected infants is profound from both medical and so...
Severity of Illness Index Data Accuracy Deep Learning Monitoring, Ambulatory Child, Preschool Skull Humans Plagiocephaly, Nonsynostotic Infant Mobile Applications Child Cephalometry Smartphone Head
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Prediction of hand-wrist maturation stages based on cervical vertebrae images using artificial intelligence.

Orthodontics & craniofacial research Aug 17, 2021
OBJECTIVE: To predict the hand-wrist maturation stages based on the cervical vertebrae (CV) images, and to analyse the accuracy of the proposed algorithms.
Wrist Cephalometry Artificial Intelligence Humans Cervical Vertebrae Age Determination by Skeleton Child Bone Development
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