AIMC Topic: Cephalometry

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Age and sex estimation in cephalometric radiographs based on multitask convolutional neural networks.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 20, 2024
OBJECTIVES: Age and sex characteristics are evident in cephalometric radiographs (CRs), yet their accurate estimation remains challenging due to the complexity of these images. This study aimed to harness deep learning to automate age and sex estimat...
Deep Learning Adolescent Child Sensitivity and Specificity Male Age Determination by Skeleton Cephalometry Sex Determination by Skeleton Humans Female Adult Neural Networks, Computer
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Deep learning for automatic detection of cephalometric landmarks on lateral cephalometric radiographs using the Mask Region-based Convolutional Neural Network: a pilot study.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 12, 2024
OBJECTIVE: We examined the effectiveness and feasibility of the Mask Region-based Convolutional Neural Network (Mask R-CNN) for automatic detection of cephalometric landmarks on lateral cephalometric radiographs (LCRs).
Humans Neural Networks, Computer Deep Learning Cephalometry Female Feasibility Studies Pilot Projects Anatomic Landmarks Male
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Accuracy of artificial intelligence-assisted growth prediction in skeletal Class I preadolescent patients using serial lateral cephalograms for a 2-year growth interval.

Orthodontics & craniofacial research Feb 6, 2024
OBJECTIVE: To investigate the accuracy of artificial intelligence-assisted growth prediction using a convolutional neural network (CNN) algorithm and longitudinal lateral cephalograms (Lat-cephs).
Female Male Child Algorithms Neural Networks, Computer Forecasting Artificial Intelligence Cephalometry Mandible Humans Anatomic Landmarks Malocclusion, Angle Class I Maxillofacial Development
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State of the art and prospects for artificial intelligence in orthognathic surgery: A systematic review with meta-analysis.

Journal of stomatology, oral and maxillofacial surgery Jan 30, 2024
OBJECTIVE: To present a systematic review of the state of the art regarding clinical applications, main features, and outcomes of artificial intelligence (AI) in orthognathic surgery.
Orthognathic Surgical Procedures Humans Artificial Intelligence Cephalometry
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Assessment of accuracy and reproducibility of cephalometric identification performed by 2 artificial intelligence-driven tracing applications and human examiners.

Oral surgery, oral medicine, oral pathology and oral radiology Jan 22, 2024
OBJECTIVE: To assess the accuracy and reproducibility of cephalometric landmark identification performed by 2 artificial intelligence (AI)-driven applications (CefBot and WebCeph) and human examiners.
Cephalometry Skull Humans Reproducibility of Results Radiography Artificial Intelligence
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LOW CERTAINTY OF EVIDENCE SUPPORTS THE APPLICATION OF (AI) FOR THE AUTOMATIC DETECTION OF CEPHALOMETRIC LANDMARKS WITH PROSPECTS FOR IMPROVEMENTS.

The journal of evidence-based dental practice Dec 21, 2023
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Artificial Intelligence for Detecting Cephalometric Landmarks: A Systematic Review and Meta-analysis. J Digit Imaging. 2023 Jun;36(3):1158-1179. doi:10.1007/s10278-022-00766-w.
Anatomic Landmarks Humans Meta-Analysis as Topic Cephalometry Artificial Intelligence Systematic Reviews as Topic
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Facial profile evaluation and prediction of skeletal class II patients during camouflage extraction treatment: a pilot study.

Head & face medicine Dec 4, 2023
BACKGROUND: The evaluation of the facial profile of skeletal Class II patients with camouflage treatment is of great importance for patients and orthodontists. The aim of this study is to explore the key factors in evaluating the facial profile esthe...
Humans Artificial Intelligence Esthetics, Dental Maxilla Pilot Projects Lip Cephalometry Malocclusion, Angle Class II
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Automatic craniomaxillofacial landmarks detection in CT images of individuals with dentomaxillofacial deformities by a two-stage deep learning model.

BMC oral health Nov 17, 2023
BACKGROUND: Accurate cephalometric analysis plays a vital role in the diagnosis and subsequent surgical planning in orthognathic and orthodontics treatment. However, manual digitization of anatomical landmarks in computed tomography (CT) is subject t...
Bone and Bones Humans Radiography Image Processing, Computer-Assisted Tomography, X-Ray Computed Cephalometry Deep Learning
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Cephalometric landmark detection without X-rays combining coordinate regression and heatmap regression.

Scientific reports Nov 16, 2023
Fully automated techniques using convolutional neural networks for cephalometric landmark detection have recently advanced. However, all existing studies have adopted X-rays. The problem of direct exposure of patients to X-ray radiation remains unsol...
Radiography Cephalometry X-Rays Neural Networks, Computer Female Humans Reproducibility of Results
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Orthodontic Implementation of Machine Learning Algorithms for Predicting Some Linear Dental Arch Measurements and Preventing Anterior Segment Malocclusion: A Prospective Study.

Medicina (Kaunas, Lithuania) Nov 9, 2023
: Orthodontics is a field that has seen significant advancements in recent years, with technology playing a crucial role in improving diagnosis and treatment planning. The study aimed to implement artificial intelligence to predict the arch width as ...
Dental Arch Malocclusion Humans Adult Cephalometry Machine Learning Artificial Intelligence Prospective Studies
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