AIMC Topic: Anatomic Landmarks

Clear Filters Showing 51 to 60 of 133 articles

An artificial intelligence study: automatic description of anatomic landmarks on panoramic radiographs in the pediatric population.

BMC oral health Oct 17, 2023
BACKGROUND: Panoramic radiographs, in which anatomic landmarks can be observed, are used to detect cases closely related to pediatric dentistry. The purpose of the study is to investigate the success and reliability of the detection of maxillary and ...
Humans Artificial Intelligence Mandible Anatomic Landmarks Radiography, Panoramic Reproducibility of Results Child
View on PubMed DOI

Deep Learning for the Assessment of Facial Nerve Palsy: Opportunities and Challenges.

Facial plastic surgery : FPS Jun 8, 2023
Automated evaluation of facial palsy using machine learning offers a promising solution to the limitations of current assessment methods, which can be time-consuming, labor-intensive, and subject to clinician bias. Deep learning-driven systems have t...
Facial Nerve Anatomic Landmarks Facial Paralysis Artificial Intelligence Humans Deep Learning
View on PubMed DOI

Accuracy of automated 3D cephalometric landmarks by deep learning algorithms: systematic review and meta-analysis.

La Radiologia medica Apr 24, 2023
OBJECTIVES: The aim of the present systematic review and meta-analysis is to assess the accuracy of automated landmarking using deep learning in comparison with manual tracing for cephalometric analysis of 3D medical images.
Humans Algorithms Imaging, Three-Dimensional Anatomic Landmarks Cephalometry Reproducibility of Results Deep Learning
View on PubMed DOI

Evaluation of an artificial intelligence-based algorithm for automated localization of craniofacial landmarks.

Clinical oral investigations Apr 4, 2023
OBJECTIVES: Due to advancing digitalisation, it is of interest to develop standardised and reproducible fully automated analysis methods of cranial structures in order to reduce the workload in diagnosis and treatment planning and to generate objecti...
Anatomic Landmarks Cephalometry Reproducibility of Results Cone-Beam Computed Tomography Imaging, Three-Dimensional Artificial Intelligence Algorithms
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.
Pattern Recognition, Automated Cephalometry Radiographic Image Interpretation, Computer-Assisted Software Algorithms Sensitivity and Specificity Anatomic Landmarks Reproducibility of Results Humans Artificial Intelligence
View on PubMed DOI

Automatic 3-Dimensional Cephalometric Landmarking via Deep Learning.

Journal of dental research Aug 18, 2022
The increasing use of 3-dimensional (3D) imaging by orthodontists and maxillofacial surgeons to assess complex dentofacial deformities and plan orthognathic surgeries implies a critical need for 3D cephalometric analysis. Although promising methods w...
Anatomic Landmarks Cephalometry Retrospective Studies Deep Learning Imaging, Three-Dimensional Reproducibility of Results
View on PubMed DOI

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...
Humans Cephalometry Reproducibility of Results Radiography Anatomic Landmarks Neural Networks, Computer Algorithms
View on PubMed DOI

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.
Radiography Anatomic Landmarks Orthodontics Cephalometry Humans Neural Networks, Computer Reproducibility of Results
View on PubMed DOI

Machine learning approach to needle insertion site identification for spinal anesthesia in obese patients.

BMC anesthesiology Oct 18, 2021
BACKGROUND: Ultrasonography for neuraxial anesthesia is increasingly being used to identify spinal structures and the identification of correct point of needle insertion to improve procedural success, in particular in obesity. We developed an ultraso...
Anesthesia, Spinal Anesthesia, Obstetrical Cesarean Section Young Adult Adult Pregnancy Female Anatomic Landmarks Ultrasonography, Interventional Lumbar Vertebrae Machine Learning Algorithms Humans Cohort Studies Obesity
View on PubMed DOI

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 Reproducibility of Results Cephalometry Radiography Humans Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals