AIMC Topic: Cephalometry
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A knowledge-based algorithm for automatic detection of cephalometric landmarks on CBCT images.
International journal of computer assisted radiology and surgery
Apr 7, 2015
PURPOSE: Cone-beam computed tomography (CBCT) is now an established component for 3D evaluation and treatment planning of patients with severe malocclusion and craniofacial deformities. Precision landmark plotting on 3D images for cephalometric analy...
Machine learning methods for sex estimation of sub-adults using cranial computed tomography images.
Anthropologischer Anzeiger; Bericht uber die biologisch-anthropologische Literatur
Aug 14, 2025
This research aimed to compare the classification accuracy of three machine learning (ML) methods (random forest (RF), support vector machines (SVM), linear discriminant analysis (LDA)) for sex estimation of sub-adults using cranial computed tomograp...
Surface scanning and imaging in craniofacial surgery.
Current opinion in otolaryngology & head and neck surgery
Aug 1, 2025
PURPOSE OF REVIEW: This review describes recent innovations in craniofacial imaging, focusing on emerging techniques such as 3D photogrammetry, smartphone-based scanning, and artificial intelligence applied to cephalometric assessments in facial plas...
THERE: Toward an easy and reliable tool for automatic cephalometric analysis.
Computers in biology and medicine
Jun 1, 2025
BACKGROUND: Cephalometric analysis in orthodontics is a meticulous process requiring high precision in identifying anatomical landmarks on lateral cephalometric radiographs. Manual analysis by clinicians remains the standard, as even slight deviation...
Healthcare resource utilization for the management of neonatal head shape deformities: a propensity-matched analysis of AI-assisted and conventional approaches.
Journal of neurosurgery. Pediatrics
Jun 1, 2025
OBJECTIVE: Overuse of radiography studies and underuse of conservative therapies for cranial deformities in neonates is a known inefficiency in pediatric craniofacial healthcare. This study sought to establish whether the introduction of artificial i...
Real-time segmentation and detection of ponticulus posticus in lateral cephalometric radiographs using YOLOv8: a step towards enhanced clinical evaluation.
BMC oral health
May 28, 2025
OBJECTIVES: Ponticulus posticus (PP) is a bony structure in the cervical spine, often difficult to identify in radiographic images, and its detection is important for both orthodontic diagnosis and clinical decision-making related to craniovertebral ...
Hierarchical clustering analysis & machine learning models for diagnosing skeletal classes I and II in German patients.
BMC oral health
May 15, 2025
BACKGROUND: Classification is one of the most common tasks in artificial intelligence (AI) driven fields in dentistry and orthodontics. The AI abilities can significantly improve the orthodontist's critical mission to diagnose and treat patients prec...
Comparison of individualized facial growth prediction models using artificial intelligence and partial least squares based on the Mathews growth collection.
The Angle orthodontist
May 1, 2025
OBJECTIVES: To develop facial growth prediction models using artificial intelligence (AI) under various conditions, and to compare performance of these models with each other as well as with the partial least squares (PLS) growth prediction model.
Assessment of the quality of different commercial providers using artificial intelligence for automated cephalometric analysis compared to human orthodontic experts.
Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie
May 1, 2025
PURPOSE: The aim of this investigation was to evaluate the accuracy of various skeletal and dental cephalometric parameters as produced by different commercial providers that make use of artificial intelligence (AI)-assisted automated cephalometric a...
[Personalized mandibular reconstruction assisted by three-dimensional retrieval model based on fully connected neural network and a database of mandibles].
Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences
Apr 18, 2025
OBJECTIVE: To propose a new protocol for personalized mandibular reconstruction assisted by three-dimensional (3D) retrieval model based on fully connected neural network (FCNN) and a database of mandibles, and to verify clinical feasibility of the p...
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