AIMC Topic: Cephalometry

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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 Mouth Humans Tooth Movement Techniques 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.
Incisor Radiography Cephalometry Artificial Intelligence
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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.
Humans Neural Networks, Computer Anatomic Landmarks Cephalometry Orthodontics Reproducibility of Results Radiography
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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...
Humans Deep Learning Child, Preschool Child Infant Severity of Illness Index Monitoring, Ambulatory Head Cephalometry Plagiocephaly, Nonsynostotic Data Accuracy Skull Smartphone Mobile Applications
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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.
Cervical Vertebrae Wrist Artificial Intelligence Bone Development Age Determination by Skeleton Child Humans Cephalometry
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Development of novel artificial intelligence systems to predict facial morphology after orthognathic surgery and orthodontic treatment in Japanese patients.

Scientific reports Aug 4, 2021
From a socio-psychological standpoint, improving the morphology of the facial soft-tissues is regarded as an important therapeutic goal in modern orthodontic treatment. Currently, many of the algorithms used in commercially available software program...
Face Orthognathic Surgery Cephalometry Japan Adult Male Imaging, Three-Dimensional Image Processing, Computer-Assisted Adolescent Female Young Adult Artificial Intelligence Retrospective Studies Humans
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Clinical applicability of automated cephalometric landmark identification: Part II - Number of images needed to re-learn various quality of images.

Orthodontics & craniofacial research Jul 11, 2021
AIM: To estimate the number of cephalograms needed to re-learn for different quality images, when artificial intelligence (AI) systems are introduced in a clinic.
Artificial Intelligence Cephalometry Radiography Humans
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Accuracy of automated identification of lateral cephalometric landmarks using cascade convolutional neural networks on lateral cephalograms from nationwide multi-centres.

Orthodontics & craniofacial research Jun 27, 2021
OBJECTIVE: To investigate the accuracy of automated identification of cephalometric landmarks using the cascade convolutional neural networks (CNN) on lateral cephalograms acquired from nationwide multi-centres.
Anatomic Landmarks Cephalometry Reproducibility of Results Radiography Humans Neural Networks, Computer
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Machine learning from clinical data sets of a contemporary decision for orthodontic tooth extraction.

Orthodontics & craniofacial research Jun 7, 2021
OBJECTIVE: To examine the robustness of the published machine learning models in the prediction of extraction vs non-extraction for a diverse US sample population seen by multiple providers.
Humans Algorithms Cephalometry Tooth Extraction Artificial Intelligence Machine Learning
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Machine learning and orthodontics, current trends and the future opportunities: A scoping review.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics Jun 5, 2021
INTRODUCTION: In recent years, artificial intelligence (AI) has been applied in various ways in medicine and dentistry. Advancements in AI technology show promising results in the practice of orthodontics. This scoping review aimed to investigate the...
Orthodontics Machine Learning Cephalometry Neural Networks, Computer Humans Artificial Intelligence
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