AIMC Topic: Cephalometry

Clear Filters Showing 71 to 80 of 166 articles

Reproducibility of linear and angular cephalometric measurements obtained by an artificial-intelligence assisted software (WebCeph) in comparison with digital software (AutoCEPH) and manual tracing method.

Dental press journal of orthodontics Apr 3, 2023
INTRODUCTION: It has been suggested that human errors during manual tracing of linear/angular cephalometric parameters can be eliminated by using computer-aided analysis. The landmarks, however, are located manually and the computer system completes ...
Cephalometry Intelligence Software Reproducibility of Results Image Processing, Computer-Assisted Humans Artificial Intelligence
View on PubMed DOI

Evaluating the accuracy of automated cephalometric analysis based on artificial intelligence.

BMC oral health Apr 1, 2023
BACKGROUND: The purpose of this study was to evaluate the accuracy of automatic cephalometric landmark localization and measurements using cephalometric analysis via artificial intelligence (AI) compared with computer-assisted manual analysis.
Artificial Intelligence Software Imaging, Three-Dimensional Radiography Cephalometry Reproducibility of Results Cone-Beam Computed Tomography
View on PubMed DOI

Using a New Deep Learning Method for 3D Cephalometry in Patients With Cleft Lip and Palate.

The Journal of craniofacial surgery Mar 22, 2023
Deep learning algorithms based on automatic 3-dimensional (D) cephalometric marking points about people without craniomaxillofacial deformities has achieved good results. However, there has been no previous report about cleft lip and palate. The purp...
Cleft Palate Humans Deep Learning Cephalometry Cleft Lip
View on PubMed DOI

XGBoost-aided prediction of lip prominence based on hard-tissue measurements and demographic characteristics in an Asian population.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics Mar 21, 2023
INTRODUCTION: Prediction of lip prominence based on hard-tissue measurements could be helpful in orthodontic treatment planning and has been challenging and formidable thus far.
Lip Esthetics, Dental Cephalometry Demography Artificial Intelligence Cross-Sectional Studies Humans
View on PubMed DOI

Preciseness of artificial intelligence for lateral cephalometric measurements.

Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie Mar 9, 2023
BACKGROUND: The aim of the study was to assess the accuracy and efficiency of a new artificial intelligence (AI) method in performing lateral cephalometric radiographic measurements.
Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Algorithms Reproducibility of Results Anatomic Landmarks Cephalometry Sensitivity and Specificity Artificial Intelligence Software Humans
View on PubMed DOI

Deep convolutional neural network-the evaluation of cervical vertebrae maturation.

Oral radiology Mar 9, 2023
OBJECTIVES: This study aimed to automatically determine the cervical vertebral maturation (CVM) processes on lateral cephalometric radiograph images using a proposed deep learning-based convolutional neural network (CNN) model and to test the success...
Neural Networks, Computer Young Adult Humans Child Radiography Cephalometry Adult Adolescent Cervical Vertebrae
View on PubMed DOI

Evaluation of the accuracy of fully automatic cephalometric analysis software with artificial intelligence algorithm.

Orthodontics & craniofacial research Jan 24, 2023
OBJECTIVE: The aim of this study is to evaluate whether fully automatic cephalometric analysis software with artificial intelligence algorithms is as accurate as non-automated cephalometric analysis software for clinical diagnosis and research.
Algorithms Retrospective Studies Radiography Cephalometry Reproducibility of Results Artificial Intelligence Software
View on PubMed DOI

Artificial Intelligence for Detecting Cephalometric Landmarks: A Systematic Review and Meta-analysis.

Journal of digital imaging Jan 5, 2023
Using computer vision through artificial intelligence (AI) is one of the main technological advances in dentistry. However, the existing literature on the practical application of AI for detecting cephalometric landmarks of orthodontic interest in di...
Cephalometry Electronic Data Processing Algorithms Reproducibility of Results Humans Artificial Intelligence
View on PubMed DOI

Effectiveness of cone-beam computed tomography-generated cephalograms using artificial intelligence cephalometric analysis.

Scientific reports Nov 29, 2022
Lateral cephalograms and related analysis constitute representative methods for orthodontic treatment. However, since conventional cephalometric radiographs display a three-dimensional structure on a two-dimensional plane, inaccuracies may be produce...
Radiography Cephalometry Dental Care Child Cone-Beam Computed Tomography Humans Artificial Intelligence
View on PubMed DOI

Automated calibration system for length measurement of lateral cephalometry based on deep learning.

Physics in medicine and biology Nov 18, 2022
. Cephalometric analysis has been significantly facilitated by artificial intelligence (AI) in recent years. For digital cephalograms, linear measurements are conducted based on the length calibration process, which has not been automatized in curren...
Cephalometry Calibration Algorithms Deep Learning Artificial Intelligence
View on PubMed DOI
Popular Topics
Recent Journals